Overview

Dataset statistics

Number of variables168
Number of observations21263
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 MiB
Average record size in memory1.3 KiB

Variable types

NUM159
BOOL9

Reproduction

Analysis started2021-08-26 00:33:53.524201
Analysis finished2021-08-26 00:33:55.095888
Duration1.57 second
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

He has constant value "0" Constant
Ne has constant value "0" Constant
Ar has constant value "0" Constant
Kr has constant value "0" Constant
Xe has constant value "0" Constant
Pm has constant value "0" Constant
Po has constant value "0" Constant
At has constant value "0" Constant
Rn has constant value "0" Constant
H is highly skewed (γ1 = 33.00091865) Skewed
Be is highly skewed (γ1 = 29.38540482) Skewed
B is highly skewed (γ1 = 51.6367086) Skewed
N is highly skewed (γ1 = 36.57391396) Skewed
Mg is highly skewed (γ1 = 28.25969877) Skewed
Al is highly skewed (γ1 = 47.38740984) Skewed
Si is highly skewed (γ1 = 21.6853647) Skewed
P is highly skewed (γ1 = 29.51067525) Skewed
Sc is highly skewed (γ1 = 21.65106127) Skewed
Ti is highly skewed (γ1 = 22.01512368) Skewed
Cr is highly skewed (γ1 = 122.799593) Skewed
Mn is highly skewed (γ1 = 74.33630163) Skewed
Co is highly skewed (γ1 = 44.06969175) Skewed
Ni is highly skewed (γ1 = 26.13474182) Skewed
Zn is highly skewed (γ1 = 46.96331787) Skewed
Ga is highly skewed (γ1 = 20.91656571) Skewed
Ge is highly skewed (γ1 = 20.15042971) Skewed
Br is highly skewed (γ1 = 28.36631896) Skewed
Rb is highly skewed (γ1 = 20.43551974) Skewed
Mo is highly skewed (γ1 = 37.95920237) Skewed
Tc is highly skewed (γ1 = 52.60212993) Skewed
Ru is highly skewed (γ1 = 49.71483334) Skewed
Rh is highly skewed (γ1 = 34.14483243) Skewed
Pd is highly skewed (γ1 = 28.79716213) Skewed
Ag is highly skewed (γ1 = 35.04738856) Skewed
Cd is highly skewed (γ1 = 143.9310414) Skewed
In is highly skewed (γ1 = 22.53572548) Skewed
Sn is highly skewed (γ1 = 35.58506089) Skewed
Sb is highly skewed (γ1 = 28.44257421) Skewed
Te is highly skewed (γ1 = 76.88019379) Skewed
I is highly skewed (γ1 = 24.73824498) Skewed
Cs is highly skewed (γ1 = 26.29882734) Skewed
La is highly skewed (γ1 = 38.52550896) Skewed
Pr is highly skewed (γ1 = 141.2570971) Skewed
Sm is highly skewed (γ1 = 20.62153082) Skewed
Tb is highly skewed (γ1 = 43.10416911) Skewed
Tm is highly skewed (γ1 = 24.8585138) Skewed
Yb is highly skewed (γ1 = 54.54058883) Skewed
Hf is highly skewed (γ1 = 87.98127714) Skewed
Ta is highly skewed (γ1 = 47.42456862) Skewed
W is highly skewed (γ1 = 43.55987191) Skewed
Re is highly skewed (γ1 = 62.61461588) Skewed
Ir is highly skewed (γ1 = 38.0969646) Skewed
Au is highly skewed (γ1 = 73.67985728) Skewed
Pb is highly skewed (γ1 = 25.82812272) Skewed
entropy_atomic_mass has 285 (1.3%) zeros Zeros
wtd_entropy_atomic_mass has 285 (1.3%) zeros Zeros
range_atomic_mass has 285 (1.3%) zeros Zeros
wtd_range_atomic_mass has 285 (1.3%) zeros Zeros
std_atomic_mass has 285 (1.3%) zeros Zeros
wtd_std_atomic_mass has 285 (1.3%) zeros Zeros
entropy_fie has 285 (1.3%) zeros Zeros
wtd_entropy_fie has 285 (1.3%) zeros Zeros
range_fie has 289 (1.4%) zeros Zeros
wtd_range_fie has 285 (1.3%) zeros Zeros
std_fie has 289 (1.4%) zeros Zeros
wtd_std_fie has 288 (1.4%) zeros Zeros
entropy_atomic_radius has 285 (1.3%) zeros Zeros
wtd_entropy_atomic_radius has 285 (1.3%) zeros Zeros
range_atomic_radius has 305 (1.4%) zeros Zeros
wtd_range_atomic_radius has 286 (1.3%) zeros Zeros
std_atomic_radius has 305 (1.4%) zeros Zeros
wtd_std_atomic_radius has 305 (1.4%) zeros Zeros
entropy_Density has 285 (1.3%) zeros Zeros
wtd_entropy_Density has 285 (1.3%) zeros Zeros
range_Density has 299 (1.4%) zeros Zeros
wtd_range_Density has 287 (1.3%) zeros Zeros
std_Density has 299 (1.4%) zeros Zeros
wtd_std_Density has 298 (1.4%) zeros Zeros
entropy_ElectronAffinity has 285 (1.3%) zeros Zeros
wtd_entropy_ElectronAffinity has 285 (1.3%) zeros Zeros
range_ElectronAffinity has 310 (1.5%) zeros Zeros
wtd_range_ElectronAffinity has 291 (1.4%) zeros Zeros
std_ElectronAffinity has 310 (1.5%) zeros Zeros
wtd_std_ElectronAffinity has 304 (1.4%) zeros Zeros
entropy_FusionHeat has 285 (1.3%) zeros Zeros
wtd_entropy_FusionHeat has 285 (1.3%) zeros Zeros
range_FusionHeat has 285 (1.3%) zeros Zeros
wtd_range_FusionHeat has 285 (1.3%) zeros Zeros
std_FusionHeat has 285 (1.3%) zeros Zeros
wtd_std_FusionHeat has 285 (1.3%) zeros Zeros
entropy_ThermalConductivity has 285 (1.3%) zeros Zeros
wtd_entropy_ThermalConductivity has 285 (1.3%) zeros Zeros
range_ThermalConductivity has 301 (1.4%) zeros Zeros
wtd_range_ThermalConductivity has 292 (1.4%) zeros Zeros
std_ThermalConductivity has 301 (1.4%) zeros Zeros
wtd_std_ThermalConductivity has 300 (1.4%) zeros Zeros
entropy_Valence has 285 (1.3%) zeros Zeros
wtd_entropy_Valence has 285 (1.3%) zeros Zeros
range_Valence has 1398 (6.6%) zeros Zeros
wtd_range_Valence has 377 (1.8%) zeros Zeros
std_Valence has 1398 (6.6%) zeros Zeros
wtd_std_Valence has 1267 (6.0%) zeros Zeros
H has 20964 (98.6%) zeros Zeros
Li has 20952 (98.5%) zeros Zeros
Be has 21167 (99.5%) zeros Zeros
B has 20058 (94.3%) zeros Zeros
C has 19989 (94.0%) zeros Zeros
N has 20957 (98.6%) zeros Zeros
O has 9299 (43.7%) zeros Zeros
F has 20594 (96.9%) zeros Zeros
Na has 20941 (98.5%) zeros Zeros
Mg has 20741 (97.5%) zeros Zeros
Al has 20532 (96.6%) zeros Zeros
Si has 20538 (96.6%) zeros Zeros
P has 20908 (98.3%) zeros Zeros
S has 20569 (96.7%) zeros Zeros
Cl has 21117 (99.3%) zeros Zeros
K has 20733 (97.5%) zeros Zeros
Ca has 17151 (80.7%) zeros Zeros
Sc has 21114 (99.3%) zeros Zeros
Ti has 20674 (97.2%) zeros Zeros
V has 20465 (96.2%) zeros Zeros
Cr has 21068 (99.1%) zeros Zeros
Mn has 21092 (99.2%) zeros Zeros
Fe has 18924 (89.0%) zeros Zeros
Co has 20228 (95.1%) zeros Zeros
Ni has 20114 (94.6%) zeros Zeros
Cu has 10425 (49.0%) zeros Zeros
Zn has 20431 (96.1%) zeros Zeros
Ga has 20658 (97.2%) zeros Zeros
Ge has 20743 (97.6%) zeros Zeros
As has 19761 (92.9%) zeros Zeros
Se has 20578 (96.8%) zeros Zeros
Br has 21197 (99.7%) zeros Zeros
Rb has 21105 (99.3%) zeros Zeros
Sr has 16411 (77.2%) zeros Zeros
Y has 17188 (80.8%) zeros Zeros
Zr has 20632 (97.0%) zeros Zeros
Nb has 19827 (93.2%) zeros Zeros
Mo has 20375 (95.8%) zeros Zeros
Tc has 21213 (99.8%) zeros Zeros
Ru has 20528 (96.5%) zeros Zeros
Rh has 20620 (97.0%) zeros Zeros
Pd has 20776 (97.7%) zeros Zeros
Ag has 21107 (99.3%) zeros Zeros
Cd has 21085 (99.2%) zeros Zeros
In has 20719 (97.4%) zeros Zeros
Sn has 20423 (96.0%) zeros Zeros
Sb has 20920 (98.4%) zeros Zeros
Te has 20736 (97.5%) zeros Zeros
I has 21180 (99.6%) zeros Zeros
Cs has 21165 (99.5%) zeros Zeros
Ba has 14512 (68.3%) zeros Zeros
La has 17800 (83.7%) zeros Zeros
Ce has 20101 (94.5%) zeros Zeros
Pr has 19987 (94.0%) zeros Zeros
Nd has 20317 (95.6%) zeros Zeros
Sm has 20785 (97.8%) zeros Zeros
Eu has 20883 (98.2%) zeros Zeros
Gd has 20600 (96.9%) zeros Zeros
Tb has 21159 (99.5%) zeros Zeros
Dy has 21024 (98.9%) zeros Zeros
Ho has 21036 (98.9%) zeros Zeros
Er has 20907 (98.3%) zeros Zeros
Tm has 21082 (99.1%) zeros Zeros
Yb has 20972 (98.6%) zeros Zeros
Lu has 20864 (98.1%) zeros Zeros
Hf has 21041 (99.0%) zeros Zeros
Ta has 20867 (98.1%) zeros Zeros
W has 20998 (98.8%) zeros Zeros
Re has 20903 (98.3%) zeros Zeros
Os has 21008 (98.8%) zeros Zeros
Ir has 20691 (97.3%) zeros Zeros
Pt has 20844 (98.0%) zeros Zeros
Au has 21021 (98.9%) zeros Zeros
Hg has 20418 (96.0%) zeros Zeros
Tl has 20355 (95.7%) zeros Zeros
Pb has 20008 (94.1%) zeros Zeros
Bi has 18874 (88.8%) zeros Zeros

Variables

number_of_elements
Real number (ℝ≥0)

Distinct count9
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.115223627898227
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:55.206492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439294652
Coefficient of variation (CV)0.3497488307
Kurtosis-0.6852393423
Mean4.115223628
Median Absolute Deviation (MAD)1
Skewness0.009215445319
Sum87502
Variance2.071569096
2021-08-25T17:33:55.314203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5579227.2%
 
4449621.1%
 
3389518.3%
 
2328015.4%
 
6266612.5%
 
77743.6%
 
12851.3%
 
8610.3%
 
9140.1%
 
ValueCountFrequency (%) 
12851.3%
 
2328015.4%
 
3389518.3%
 
4449621.1%
 
5579227.2%
 
ValueCountFrequency (%) 
9140.1%
 
8610.3%
 
77743.6%
 
6266612.5%
 
5579227.2%
 

mean_atomic_mass
Real number (ℝ≥0)

Distinct count3365
Unique (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.55763086475905
Minimum6.941
Maximum208.9804
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:55.407955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.941
5-th percentile42.67412667
Q172.45807595
median84.92275
Q3100.40441
95-th percentile142.3767
Maximum208.9804
Range202.0394
Interquartile range (IQR)27.94633405

Descriptive statistics

Standard deviation29.67649726
Coefficient of variation (CV)0.3389367319
Kurtosis2.056717014
Mean87.55763086
Median Absolute Deviation (MAD)13.47779286
Skewness0.7746809892
Sum1861737.905
Variance880.6944898
2021-08-25T17:33:55.496224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
76.44456257203.4%
 
76.51771753581.7%
 
83.244763231.5%
 
74.231652671.3%
 
89.337182541.2%
 
88.9367441670.8%
 
72.324651660.8%
 
88.94446751550.7%
 
79.1711741540.7%
 
104.36561500.7%
 
Other values (3355)1854987.2%
 
ValueCountFrequency (%) 
6.9416< 0.1%
 
8.8762< 0.1%
 
9.0121824< 0.1%
 
9.475851< 0.1%
 
9.9115913< 0.1%
 
ValueCountFrequency (%) 
208.98047< 0.1%
 
208.0902210.1%
 
207.29< 0.1%
 
206.85456671< 0.1%
 
206.681856< 0.1%
 

wtd_mean_atomic_mass
Real number (ℝ≥0)

Distinct count15164
Unique (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.98831044307747
Minimum6.423452
Maximum208.9804
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:55.592965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.423452
5-th percentile36.69704
Q152.14383927
median60.6965715
Q386.10354
95-th percentile141.1647272
Maximum208.9804
Range202.556948
Interquartile range (IQR)33.95970073

Descriptive statistics

Standard deviation33.49040622
Coefficient of variation (CV)0.4588461634
Kurtosis2.830720454
Mean72.98831044
Median Absolute Deviation (MAD)12.41991045
Skewness1.503906653
Sum1551950.445
Variance1121.607309
2021-08-25T17:33:55.676741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
51.245665381100.5%
 
59.2244830.4%
 
56.80881707530.2%
 
15.309470.2%
 
76.633450.2%
 
81.45675440.2%
 
97.046275440.2%
 
49.71593667400.2%
 
59.3441320.2%
 
56.44249229300.1%
 
Other values (15154)2073597.5%
 
ValueCountFrequency (%) 
6.4234521< 0.1%
 
6.9416< 0.1%
 
8.67741< 0.1%
 
9.0121824< 0.1%
 
9.3730675761< 0.1%
 
ValueCountFrequency (%) 
208.98047< 0.1%
 
208.38693331< 0.1%
 
208.357261< 0.1%
 
208.3368061< 0.1%
 
208.312751< 0.1%
 

gmean_atomic_mass
Real number (ℝ≥0)

Distinct count3365
Unique (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.29062703770029
Minimum5.32057317119124
Maximum208.9804
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:55.768019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.320573171
5-th percentile29.77297604
Q158.04122465
median66.36159243
Q378.11668125
95-th percentile135.8128982
Maximum208.9804
Range203.6598268
Interquartile range (IQR)20.0754566

Descriptive statistics

Standard deviation31.03027168
Coefficient of variation (CV)0.4352643954
Kurtosis3.327761456
Mean71.29062704
Median Absolute Deviation (MAD)10.29368579
Skewness1.474815716
Sum1515852.603
Variance962.8777603
2021-08-25T17:33:55.855784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
59.356672477203.4%
 
59.310096133581.7%
 
59.506081423231.5%
 
60.515220552671.3%
 
70.560646552541.2%
 
70.358975471670.8%
 
58.637101741660.8%
 
66.361592431550.7%
 
59.994943311540.7%
 
72.746864861500.7%
 
Other values (3355)1854987.2%
 
ValueCountFrequency (%) 
5.3205731711< 0.1%
 
5.6850326382< 0.1%
 
6.5289880081< 0.1%
 
6.9416< 0.1%
 
7.5431370231< 0.1%
 
ValueCountFrequency (%) 
208.98047< 0.1%
 
208.0882959210.1%
 
207.29< 0.1%
 
206.84589421< 0.1%
 
206.66906836< 0.1%
 

wtd_gmean_atomic_mass
Real number (ℝ≥0)

Distinct count15165
Unique (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.539915554195844
Minimum1.96084911435585
Maximum208.9804
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:55.954028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.960849114
5-th percentile27.41999055
Q135.24898992
median39.91838493
Q373.1132338
95-th percentile136.771114
Maximum208.9804
Range207.0195509
Interquartile range (IQR)37.86424389

Descriptive statistics

Standard deviation36.6510666
Coefficient of variation (CV)0.6260867692
Kurtosis2.897366152
Mean58.53991555
Median Absolute Deviation (MAD)10.30136659
Skewness1.698279947
Sum1244734.224
Variance1343.300683
2021-08-25T17:33:56.029825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
34.935266161100.5%
 
36.12617465830.4%
 
35.77343242530.2%
 
14.16258252470.2%
 
42.60541747450.2%
 
73.67590394440.2%
 
68.22961748440.2%
 
34.51238532400.2%
 
36.49694839320.2%
 
35.65588427300.1%
 
Other values (15155)2073597.5%
 
ValueCountFrequency (%) 
1.9608491141< 0.1%
 
3.1937447372< 0.1%
 
5.1088351381< 0.1%
 
5.245675941< 0.1%
 
5.3763122371< 0.1%
 
ValueCountFrequency (%) 
208.98047< 0.1%
 
208.385241< 0.1%
 
208.35552651< 0.1%
 
208.33063391< 0.1%
 
208.31096421< 0.1%
 

entropy_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count3314
Unique (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1656079642319457
Minimum0.0
Maximum1.98379733934683
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.112604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5399782383
Q10.9666762268
median1.199540745
Q31.444537168
95-th percentile1.647984751
Maximum1.983797339
Range1.983797339
Interquartile range (IQR)0.4778609414

Descriptive statistics

Standard deviation0.3649304105
Coefficient of variation (CV)0.3130816035
Kurtosis0.3099537162
Mean1.165607964
Median Absolute Deviation (MAD)0.2435112576
Skewness-0.7852445806
Sum24784.32214
Variance0.1331742045
2021-08-25T17:33:56.198880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1995407457203.4%
 
1.1972730333581.7%
 
1.3115103733231.5%
 
02851.3%
 
1.4537471362671.3%
 
1.4445371682541.2%
 
1.4458243931670.8%
 
1.444612031660.8%
 
1.1817952391550.7%
 
1.3899532371540.7%
 
Other values (3304)1841486.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.034306423713< 0.1%
 
0.05314427017160.1%
 
0.059341212513< 0.1%
 
0.13639386782< 0.1%
 
ValueCountFrequency (%) 
1.9837973394< 0.1%
 
1.9387088321< 0.1%
 
1.9297564796< 0.1%
 
1.8983792442< 0.1%
 
1.8787567723< 0.1%
 

wtd_entropy_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count15113
Unique (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0638835275958267
Minimum0.0
Maximum1.95820337089713
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.294625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2996410787
Q10.7753627722
median1.146783465
Q31.359417965
95-th percentile1.618900534
Maximum1.958203371
Range1.958203371
Interquartile range (IQR)0.5840551931

Descriptive statistics

Standard deviation0.4014234673
Coefficient of variation (CV)0.3773189987
Kurtosis-0.2001379339
Mean1.063883528
Median Absolute Deviation (MAD)0.25303263
Skewness-0.6268340564
Sum22621.35545
Variance0.1611408001
2021-08-25T17:33:56.380901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
1.2918881381100.5%
 
1.372050269830.4%
 
0.9818797836530.2%
 
0.6914398309470.2%
 
1.158646411450.2%
 
1.198595337440.2%
 
1.108189293440.2%
 
1.290781083400.2%
 
1.010634971320.2%
 
Other values (15103)2048096.3%
 
ValueCountFrequency (%) 
02851.3%
 
0.00028394184721< 0.1%
 
0.00045859767341< 0.1%
 
0.0005109687461< 0.1%
 
0.00065702349221< 0.1%
 
ValueCountFrequency (%) 
1.9582033711< 0.1%
 
1.9445779581< 0.1%
 
1.9215520741< 0.1%
 
1.9157516981< 0.1%
 
1.9070437931< 0.1%
 

range_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count1042
Unique (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.60125125331516
Minimum0.0
Maximum207.97246
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.472656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.0964614
Q178.5129025
median122.90607
Q3154.11932
95-th percentile192.981
Maximum207.97246
Range207.97246
Interquartile range (IQR)75.6064175

Descriptive statistics

Standard deviation54.6268873
Coefficient of variation (CV)0.4725458134
Kurtosis-0.677879914
Mean115.6012513
Median Absolute Deviation (MAD)41.02607
Skewness-0.3771251843
Sum2458029.405
Variance2984.096816
2021-08-25T17:33:56.547456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
121.3276212010.0%
 
192.98120639.7%
 
122.9060718098.5%
 
128.24266833.2%
 
124.908256272.9%
 
188.38396182.9%
 
184.59065792.7%
 
141.25064632.2%
 
191.20063491.6%
 
134.36063341.6%
 
Other values (1032)1161854.6%
 
ValueCountFrequency (%) 
02851.3%
 
1.0546200.1%
 
1.19973< 0.1%
 
1.2105310< 0.1%
 
1.68238340.2%
 
ValueCountFrequency (%) 
207.97246110.1%
 
206.192061< 0.1%
 
202.0394150.1%
 
200.2592< 0.1%
 
198.1878181< 0.1%
 

wtd_range_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count12641
Unique (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.22521792173843
Minimum0.0
Maximum205.58991
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.630740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.255212766
Q116.82417431
median26.63600829
Q338.35690762
95-th percentile83.45834722
Maximum205.58991
Range205.58991
Interquartile range (IQR)21.53273331

Descriptive statistics

Standard deviation26.96775189
Coefficient of variation (CV)0.8116651621
Kurtosis8.38400294
Mean33.22521792
Median Absolute Deviation (MAD)10.85275829
Skewness2.463807864
Sum706467.8087
Variance727.2596419
2021-08-25T17:33:56.704542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
36.950657141850.9%
 
12.512169231450.7%
 
50.2451751210.6%
 
14.288319231100.5%
 
17.56268333950.4%
 
25.19218667940.4%
 
40.19614850.4%
 
22.74865714760.4%
 
18.95942077620.3%
 
Other values (12631)2000594.1%
 
ValueCountFrequency (%) 
02851.3%
 
0.023221< 0.1%
 
0.0436861< 0.1%
 
0.074961< 0.1%
 
0.087068965521< 0.1%
 
ValueCountFrequency (%) 
205.589911< 0.1%
 
204.0419841< 0.1%
 
203.979821< 0.1%
 
202.83010581< 0.1%
 
202.78729351< 0.1%
 

std_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count3313
Unique (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.391893275276146
Minimum0.0
Maximum101.0197
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.785326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.098060972
Q132.89036869
median45.1235
Q359.32281217
95-th percentile74.01642971
Maximum101.0197
Range101.0197
Interquartile range (IQR)26.43244347

Descriptive statistics

Standard deviation20.03543027
Coefficient of variation (CV)0.4513308352
Kurtosis-0.4386716081
Mean44.39189328
Median Absolute Deviation (MAD)12.94992705
Skewness-0.3483717535
Sum943904.8267
Variance401.4184661
2021-08-25T17:33:56.864116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
43.823354127203.4%
 
44.289458533581.7%
 
67.233834713231.5%
 
02851.3%
 
39.445874562671.3%
 
46.917666582541.2%
 
46.482335221670.8%
 
40.053511821660.8%
 
51.968827791550.7%
 
50.424957241540.7%
 
Other values (3303)1841486.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.5273200.1%
 
0.599853< 0.1%
 
0.60526510< 0.1%
 
0.84119340.2%
 
ValueCountFrequency (%) 
101.01972< 0.1%
 
100.12951< 0.1%
 
99.0939091< 0.1%
 
96.82451< 0.1%
 
93.97719352< 0.1%
 

wtd_std_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct count15031
Unique (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.44804474886692
Minimum0.0
Maximum101.0197
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:56.950884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.05845997
Q128.53937697
median44.28598364
Q353.62928363
95-th percentile72.43714971
Maximum101.0197
Range101.0197
Interquartile range (IQR)25.08990666

Descriptive statistics

Standard deviation19.98354429
Coefficient of variation (CV)0.4821347886
Kurtosis-0.5148515467
Mean41.44804475
Median Absolute Deviation (MAD)11.6275887
Skewness-0.3083644906
Sum881309.7755
Variance399.3420426
2021-08-25T17:33:57.106498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
44.192125221100.5%
 
64.19630382830.4%
 
52.53320698530.2%
 
6.361132604470.2%
 
75.21947997450.2%
 
68.27767127440.2%
 
40.61229287440.2%
 
42.22697993400.2%
 
55.86396979320.2%
 
Other values (15021)2048096.3%
 
ValueCountFrequency (%) 
02851.3%
 
0.032016401721< 0.1%
 
0.044702601951< 0.1%
 
0.060482114511< 0.1%
 
0.07481367731< 0.1%
 
ValueCountFrequency (%) 
101.01972< 0.1%
 
100.12951< 0.1%
 
93.97719352< 0.1%
 
93.435405516< 0.1%
 
93.411526571< 0.1%
 

mean_fie
Real number (ℝ≥0)

Distinct count2997
Unique (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean769.614748322035
Minimum375.5
Maximum1313.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:57.189311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile647.35
Q1723.74
median764.9
Q3796.32
95-th percentile951.975
Maximum1313.1
Range937.6
Interquartile range (IQR)72.58

Descriptive statistics

Standard deviation87.48869412
Coefficient of variation (CV)0.1136785571
Kurtosis2.812877544
Mean769.6147483
Median Absolute Deviation (MAD)36.18333333
Skewness1.00976428
Sum16364318.39
Variance7654.271599
2021-08-25T17:33:57.261087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7947203.4%
 
787.053581.7%
 
779.883231.5%
 
816.362671.3%
 
740.522541.2%
 
787.021750.8%
 
743.421670.8%
 
775.4251550.7%
 
738.221540.7%
 
891.651500.7%
 
Other values (2987)1854087.2%
 
ValueCountFrequency (%) 
375.51< 0.1%
 
496.851< 0.1%
 
502.57< 0.1%
 
5133< 0.1%
 
519.96< 0.1%
 
ValueCountFrequency (%) 
1313.11< 0.1%
 
1281.2752< 0.1%
 
1258.7252< 0.1%
 
1254.2666673< 0.1%
 
1241.21< 0.1%
 

wtd_mean_fie
Real number (ℝ≥0)

Distinct count14940
Unique (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean870.4423172901026
Minimum375.5
Maximum1348.02898550725
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:57.341626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile648.90972
Q1738.9463393
median889.9666667
Q31004.117384
95-th percentile1024.522241
Maximum1348.028986
Range972.5289855
Interquartile range (IQR)265.1710451

Descriptive statistics

Standard deviation143.2782002
Coefficient of variation (CV)0.1646039001
Kurtosis-1.231701647
Mean870.4423173
Median Absolute Deviation (MAD)117.6666667
Skewness-0.2897311056
Sum18508214.99
Variance20528.64266
2021-08-25T17:33:57.412436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1003.6230771100.5%
 
1005.866667830.4%
 
1011.540714530.2%
 
779.2333333470.2%
 
982.4450.2%
 
738.3571429440.2%
 
737.0375440.2%
 
1007.013333400.2%
 
788.75340.2%
 
1008.812857320.2%
 
Other values (14930)2073197.5%
 
ValueCountFrequency (%) 
375.51< 0.1%
 
502.57< 0.1%
 
5133< 0.1%
 
519.96< 0.1%
 
528.4551< 0.1%
 
ValueCountFrequency (%) 
1348.0289861< 0.1%
 
1313.11< 0.1%
 
1290.3603771< 0.1%
 
1221.8240281< 0.1%
 
1218.526251< 0.1%
 

gmean_fie
Real number (ℝ≥0)

Distinct count3286
Unique (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean737.4747507972785
Minimum375.5
Maximum1313.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:57.490231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile631.7290558
Q1692.5413311
median727.9606097
Q3765.7151745
95-th percentile887.2565602
Maximum1313.1
Range937.6
Interquartile range (IQR)73.17384334

Descriptive statistics

Standard deviation78.32727545
Coefficient of variation (CV)0.1062101114
Kurtosis3.220112792
Mean737.4747508
Median Absolute Deviation (MAD)36.14174522
Skewness1.191928626
Sum15680925.63
Variance6135.16208
2021-08-25T17:33:57.564031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
741.62934897203.4%
 
734.21962423581.7%
 
740.39933273231.5%
 
771.89102212671.3%
 
692.54133112541.2%
 
745.09101231750.8%
 
696.31384941670.8%
 
718.15291550.7%
 
690.32811481540.7%
 
838.5848851500.7%
 
Other values (3276)1854087.2%
 
ValueCountFrequency (%) 
375.51< 0.1%
 
490.63346811< 0.1%
 
502.57< 0.1%
 
5133< 0.1%
 
513.74989051< 0.1%
 
ValueCountFrequency (%) 
1313.11< 0.1%
 
1225.9001592< 0.1%
 
1213.4084251< 0.1%
 
1205.6807892< 0.1%
 
1193.0066283< 0.1%
 

wtd_gmean_fie
Real number (ℝ≥0)

Distinct count15089
Unique (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean832.7696487659008
Minimum375.5
Maximum1327.59338127497
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:57.645812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile645.3949131
Q1720.1082839
median856.2027655
Q3937.5758263
95-th percentile960.3640284
Maximum1327.593381
Range952.0933813
Interquartile range (IQR)217.4675424

Descriptive statistics

Standard deviation119.7725199
Coefficient of variation (CV)0.1438243098
Kurtosis-0.907184605
Mean832.7696488
Median Absolute Deviation (MAD)86.44870929
Skewness-0.3147744154
Sum17707181.04
Variance14345.45653
2021-08-25T17:33:57.716623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
937.55919241100.5%
 
945.3713955830.4%
 
940.2943443530.2%
 
778.6586444470.2%
 
905.2205256450.2%
 
702.4241965440.2%
 
709.1596741440.2%
 
944.2691657400.2%
 
935.5286524320.2%
 
940.391699300.1%
 
Other values (15079)2073597.5%
 
ValueCountFrequency (%) 
375.51< 0.1%
 
502.57< 0.1%
 
5133< 0.1%
 
519.96< 0.1%
 
526.43334771< 0.1%
 
ValueCountFrequency (%) 
1327.5933811< 0.1%
 
1313.11< 0.1%
 
1274.7815071< 0.1%
 
1199.0086721< 0.1%
 
1197.6314812< 0.1%
 

entropy_fie
Real number (ℝ≥0)

ZEROS

Distinct count3238
Unique (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2991721607957372
Minimum0.0
Maximum2.15777657240244
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:57.796410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.682547678
Q11.085870976
median1.356235968
Q31.551120038
95-th percentile1.743752792
Maximum2.157776572
Range2.157776572
Interquartile range (IQR)0.4652490628

Descriptive statistics

Standard deviation0.3819345874
Coefficient of variation (CV)0.2939830447
Kurtosis0.3978065894
Mean1.299172161
Median Absolute Deviation (MAD)0.2592002057
Skewness-0.7925493308
Sum27624.29765
Variance0.145874029
2021-08-25T17:33:57.871217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.3150043087203.4%
 
1.3130080243581.7%
 
1.5532187043231.5%
 
02851.3%
 
1.5525063642671.3%
 
1.536959562541.2%
 
1.5517413211750.8%
 
1.5385265571670.8%
 
1.3059670361550.7%
 
1.536569581540.7%
 
Other values (3228)1840586.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.56987492927< 0.1%
 
0.583862628230.1%
 
0.58460115221< 0.1%
 
0.58720559451< 0.1%
 
ValueCountFrequency (%) 
2.1577765724< 0.1%
 
2.14314047210< 0.1%
 
2.0387798156< 0.1%
 
2.0360246784< 0.1%
 
2.0359438741< 0.1%
 

wtd_entropy_fie
Real number (ℝ≥0)

ZEROS

Distinct count15058
Unique (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9267258145043101
Minimum0.0
Maximum2.03856025300207
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:57.956982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3413922537
Q10.7537566852
median0.9168430571
Q31.061750345
95-th percentile1.557476718
Maximum2.038560253
Range2.038560253
Interquartile range (IQR)0.3079936593

Descriptive statistics

Standard deviation0.3340175609
Coefficient of variation (CV)0.3604275997
Kurtosis0.8337020579
Mean0.9267258145
Median Absolute Deviation (MAD)0.1503816423
Skewness-0.03028091615
Sum19704.97099
Variance0.111567731
2021-08-25T17:33:58.043750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
0.89051621231100.5%
 
1.019202288830.4%
 
0.7868652343530.2%
 
0.6233498538470.2%
 
0.8772268559450.2%
 
1.567119949440.2%
 
1.282438988440.2%
 
0.8835038431400.2%
 
0.7832103739320.2%
 
Other values (15048)2048096.3%
 
ValueCountFrequency (%) 
02851.3%
 
0.00045849854061< 0.1%
 
0.0009160946411< 0.1%
 
0.0011190498141< 0.1%
 
0.0012207942491< 0.1%
 
ValueCountFrequency (%) 
2.0385602531< 0.1%
 
2.0314645821< 0.1%
 
2.0212832811< 0.1%
 
2.0066666651< 0.1%
 
1.9543448141< 0.1%
 

range_fie
Real number (ℝ≥0)

ZEROS

Distinct count854
Unique (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean572.2226120490994
Minimum0.0
Maximum1304.5
Zeros289
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:33:58.135503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.2
Q1262.4
median764.1
Q3810.6
95-th percentile881.6
Maximum1304.5
Range1304.5
Interquartile range (IQR)548.2

Descriptive statistics

Standard deviation309.6144415
Coefficient of variation (CV)0.5410734127
Kurtosis-1.130455633
Mean572.222612
Median Absolute Deviation (MAD)46.5
Skewness-0.4563549563
Sum12167169.4
Variance95861.10242
2021-08-25T17:33:58.216288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
810.6593827.9%
 
764.119739.3%
 
77213396.3%
 
7734662.2%
 
781.63961.9%
 
786.53581.7%
 
02891.4%
 
894.62331.1%
 
443.72181.0%
 
1138.92101.0%
 
Other values (844)984346.3%
 
ValueCountFrequency (%) 
02891.4%
 
0.12< 0.1%
 
0.51< 0.1%
 
0.9200.1%
 
1270.1%
 
ValueCountFrequency (%) 
1304.54< 0.1%
 
1277.24< 0.1%
 
1261.54< 0.1%
 
1184.42< 0.1%
 
1177.5880.4%
 

wtd_range_fie
Real number (ℝ≥0)

ZEROS

Distinct count12266
Unique (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483.517264407814
Minimum0.0
Maximum1251.85507246377
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:58.304522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile114.0472676
Q1291.0888889
median510.44
Q3690.7033102
95-th percentile747.9264816
Maximum1251.855072
Range1251.855072
Interquartile range (IQR)399.6144213

Descriptive statistics

Standard deviation224.0428735
Coefficient of variation (CV)0.4633606492
Kurtosis-1.099576543
Mean483.5172644
Median Absolute Deviation (MAD)187.7768831
Skewness-0.2779982241
Sum10281027.59
Variance50195.20918
2021-08-25T17:33:58.386269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
738.76928571450.7%
 
659.71538461130.5%
 
661.02666671080.5%
 
738.5785714770.4%
 
698.9523077740.3%
 
648.5090909590.3%
 
253.4475590.3%
 
112.575520.2%
 
287.7480.2%
 
Other values (12256)2024395.2%
 
ValueCountFrequency (%) 
02851.3%
 
0.452< 0.1%
 
0.51< 0.1%
 
0.82857142862< 0.1%
 
0.954< 0.1%
 
ValueCountFrequency (%) 
1251.8550721< 0.1%
 
1057.41151< 0.1%
 
1049.3951221< 0.1%
 
1042.6838711< 0.1%
 
1037.6838711< 0.1%
 

std_fie
Real number (ℝ≥0)

ZEROS

Distinct count3185
Unique (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.63127944649548
Minimum0.0
Maximum499.67194925771
Zeros289
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:33:58.473624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.3
Q1114.1357635
median266.3738705
Q3297.724924
95-th percentile349.8057568
Maximum499.6719493
Range499.6719493
Interquartile range (IQR)183.5891606

Descriptive statistics

Standard deviation109.9667745
Coefficient of variation (CV)0.5099759867
Kurtosis-0.9733870063
Mean215.6312794
Median Absolute Deviation (MAD)52.91495642
Skewness-0.4524848077
Sum4584967.895
Variance12092.69149
2021-08-25T17:33:58.552414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
311.74349237203.4%
 
314.50596583581.7%
 
276.06314783231.5%
 
02891.4%
 
282.39525922671.3%
 
298.64300692541.2%
 
279.18109821750.8%
 
296.6151541670.8%
 
323.81180781550.7%
 
299.03196751540.7%
 
Other values (3175)1840186.5%
 
ValueCountFrequency (%) 
02891.4%
 
0.052< 0.1%
 
0.251< 0.1%
 
0.4242640687130.1%
 
0.457< 0.1%
 
ValueCountFrequency (%) 
499.67194931< 0.1%
 
492.05701133< 0.1%
 
490.72948251< 0.1%
 
485.96944353< 0.1%
 
485.64249391< 0.1%
 

wtd_std_fie
Real number (ℝ≥0)

ZEROS

Distinct count14922
Unique (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.05003328379877
Minimum0.0
Maximum479.162305267108
Zeros288
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:33:58.640181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.23236388
Q192.9942864
median258.4495031
Q3342.6569914
95-th percentile355.2148079
Maximum479.1623053
Range479.1623053
Interquartile range (IQR)249.662705

Descriptive statistics

Standard deviation127.9271039
Coefficient of variation (CV)0.5709756078
Kurtosis-1.427789462
Mean224.0500333
Median Absolute Deviation (MAD)92.09670712
Skewness-0.4099536368
Sum4763975.858
Variance16365.34392
2021-08-25T17:33:58.718969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02881.4%
 
342.39600141100.5%
 
333.2384325830.4%
 
353.8198315530.2%
 
29.65134436470.2%
 
367.1544411450.2%
 
255.4652275440.2%
 
230.9812164440.2%
 
335.3152484400.2%
 
357.4502241320.2%
 
Other values (14912)2047796.3%
 
ValueCountFrequency (%) 
02881.4%
 
1.136868377e-131< 0.1%
 
0.026448251361< 0.1%
 
0.043301270191< 0.1%
 
0.047140452081< 0.1%
 
ValueCountFrequency (%) 
479.16230531< 0.1%
 
477.81316421< 0.1%
 
467.12302051< 0.1%
 
466.30529391< 0.1%
 
466.28458751< 0.1%
 

mean_atomic_radius
Real number (ℝ≥0)

Distinct count942
Unique (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.98310075852754
Minimum48.0
Maximum298.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:58.802746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile119.6
Q1149.3333333
median160.25
Q3169.8571429
95-th percentile188.3333333
Maximum298
Range250
Interquartile range (IQR)20.52380952

Descriptive statistics

Standard deviation20.14728838
Coefficient of variation (CV)0.1275281235
Kurtosis1.403617621
Mean157.9831008
Median Absolute Deviation (MAD)10.45
Skewness-0.565582333
Sum3359194.671
Variance405.913229
2021-08-25T17:33:58.881536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
164.57403.5%
 
149.84562.1%
 
1603651.7%
 
151.753591.7%
 
1673461.6%
 
1812931.4%
 
150.52771.3%
 
162.82091.0%
 
1622000.9%
 
160.251980.9%
 
Other values (932)1782083.8%
 
ValueCountFrequency (%) 
481< 0.1%
 
66.333333331< 0.1%
 
67270.1%
 
702< 0.1%
 
71.333333331< 0.1%
 
ValueCountFrequency (%) 
2981< 0.1%
 
2537< 0.1%
 
2311< 0.1%
 
225.51< 0.1%
 
2213< 0.1%
 

wtd_mean_atomic_radius
Real number (ℝ≥0)

Distinct count12423
Unique (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.72003911907217
Minimum48.0
Maximum298.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:58.967307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile104.2
Q1112.1273587
median125.970297
Q3158.2652314
95-th percentile187.3483333
Maximum298
Range250
Interquartile range (IQR)46.13787267

Descriptive statistics

Standard deviation28.8015674
Coefficient of variation (CV)0.2137882945
Kurtosis-0.6040153366
Mean134.7200391
Median Absolute Deviation (MAD)19.4489637
Skewness0.5668663092
Sum2864552.192
Variance829.5302846
2021-08-25T17:33:59.044065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
114.53846151100.5%
 
106.1333333890.4%
 
157600.3%
 
104.3714286590.3%
 
106.3333333580.3%
 
156540.3%
 
113.7272727450.2%
 
171.5714286440.2%
 
112.1333333400.2%
 
115.6153846370.2%
 
Other values (12413)2066797.2%
 
ValueCountFrequency (%) 
481< 0.1%
 
64.333333332< 0.1%
 
64.61< 0.1%
 
66.289855071< 0.1%
 
67270.1%
 
ValueCountFrequency (%) 
2981< 0.1%
 
2537< 0.1%
 
243.161< 0.1%
 
242.22850381< 0.1%
 
2311< 0.1%
 

gmean_atomic_radius
Real number (ℝ≥0)

Distinct count3148
Unique (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.44873803323298
Minimum48.0
Maximum298.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:59.126845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile105.2995726
Q1133.5424933
median142.8075628
Q3155.9381993
95-th percentile185.6124996
Maximum298
Range250
Interquartile range (IQR)22.39570608

Descriptive statistics

Standard deviation22.090958
Coefficient of variation (CV)0.1529328556
Kurtosis1.137749526
Mean144.448738
Median Absolute Deviation (MAD)10.71486854
Skewness0.09213246356
Sum3071413.517
Variance488.0104254
2021-08-25T17:33:59.205669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
139.00051387203.4%
 
131.30219663581.7%
 
133.42531123231.5%
 
139.5952992671.3%
 
155.93819932541.2%
 
142.24533881670.8%
 
148.73735241670.8%
 
136.12600311550.7%
 
146.12119671540.7%
 
131.72902211500.7%
 
Other values (3138)1854887.2%
 
ValueCountFrequency (%) 
481< 0.1%
 
64.79814682< 0.1%
 
65.462500141< 0.1%
 
65.696256722< 0.1%
 
67270.1%
 
ValueCountFrequency (%) 
2981< 0.1%
 
2537< 0.1%
 
2311< 0.1%
 
224.81992791< 0.1%
 
219.46525923< 0.1%
 

wtd_gmean_atomic_radius
Real number (ℝ≥0)

Distinct count14969
Unique (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.98933048313367
Minimum48.0
Maximum298.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:33:59.292436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile84.04112841
Q189.21009681
median113.1813692
Q3150.9886401
95-th percentile186.1168081
Maximum298
Range250
Interquartile range (IQR)61.77854332

Descriptive statistics

Standard deviation35.83784345
Coefficient of variation (CV)0.2962066433
Kurtosis-0.9240237639
Mean120.9893305
Median Absolute Deviation (MAD)26.74214969
Skewness0.5526691742
Sum2572596.134
Variance1284.351023
2021-08-25T17:33:59.467938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
89.685190771100.5%
 
86.45733859880.4%
 
84.1108347580.3%
 
103.1499058570.3%
 
88.96303815450.2%
 
153.2559871440.2%
 
144.6829681440.2%
 
88.824326400.2%
 
85.0316171320.2%
 
97.88051891310.1%
 
Other values (14959)2071497.4%
 
ValueCountFrequency (%) 
481< 0.1%
 
61.250400821< 0.1%
 
61.34745491< 0.1%
 
61.366697071< 0.1%
 
61.369837691< 0.1%
 
ValueCountFrequency (%) 
2981< 0.1%
 
2537< 0.1%
 
237.91135611< 0.1%
 
235.05741911< 0.1%
 
2311< 0.1%
 

entropy_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count3111
Unique (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.267755878438339
Minimum0.0
Maximum2.14196070533239
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:59.559687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6655722853
Q11.0663886
median1.330735101
Q31.512348447
95-th percentile1.717137043
Maximum2.141960705
Range2.141960705
Interquartile range (IQR)0.4459598461

Descriptive statistics

Standard deviation0.3754109563
Coefficient of variation (CV)0.2961224339
Kurtosis0.3847536455
Mean1.267755878
Median Absolute Deviation (MAD)0.2370424721
Skewness-0.7498103804
Sum26956.29324
Variance0.1409333861
2021-08-25T17:33:59.639476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.2567005677203.4%
 
1.2752739913581.7%
 
1.5195373613231.5%
 
02851.3%
 
1.5012175852671.3%
 
1.4998611412541.2%
 
1.5044598631670.8%
 
1.5069977821670.8%
 
1.2592439721550.7%
 
1.5087598941540.7%
 
Other values (3101)1841386.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.47675142357< 0.1%
 
0.49356519210< 0.1%
 
0.49924981741< 0.1%
 
0.50272352143< 0.1%
 
ValueCountFrequency (%) 
2.1419607054< 0.1%
 
2.06108888610< 0.1%
 
2.0176952636< 0.1%
 
2.0173583584< 0.1%
 
2.0172436071< 0.1%
 

wtd_entropy_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count14948
Unique (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1311377209982563
Minimum0.0
Maximum1.90374818834238
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:33:59.727241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3905922524
Q10.8521805307
median1.242878366
Q31.425683722
95-th percentile1.647835662
Maximum1.903748188
Range1.903748188
Interquartile range (IQR)0.5735031908

Descriptive statistics

Standard deviation0.4071591108
Coefficient of variation (CV)0.3599553823
Kurtosis-0.104179882
Mean1.131137721
Median Absolute Deviation (MAD)0.2367256472
Skewness-0.7891868463
Sum24051.38136
Variance0.1657785415
2021-08-25T17:33:59.807058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
1.3397426931100.5%
 
1.573184663830.4%
 
1.160059751530.2%
 
0.6890092385510.2%
 
1.300360733450.2%
 
1.45601128440.2%
 
1.166832373440.2%
 
1.326771608400.2%
 
1.133280084320.2%
 
Other values (14938)2047696.3%
 
ValueCountFrequency (%) 
02851.3%
 
0.00054517312761< 0.1%
 
0.00062566876731< 0.1%
 
0.00069827288191< 0.1%
 
0.00083469060751< 0.1%
 
ValueCountFrequency (%) 
1.9037481881< 0.1%
 
1.8855802351< 0.1%
 
1.8520618971< 0.1%
 
1.8493689151< 0.1%
 
1.8490611871< 0.1%
 

range_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count195
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.3250246907774
Minimum0
Maximum256
Zeros305
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:33:59.895825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q180
median171
Q3205
95-th percentile205
Maximum256
Range256
Interquartile range (IQR)125

Descriptive statistics

Standard deviation67.27222803
Coefficient of variation (CV)0.4828438264
Kurtosis-0.9127310057
Mean139.3250247
Median Absolute Deviation (MAD)34
Skewness-0.6875539893
Sum2962468
Variance4525.552665
2021-08-25T17:33:59.972617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
205614128.9%
 
171312414.7%
 
1394422.1%
 
1993581.7%
 
533171.5%
 
03051.4%
 
803041.4%
 
332461.2%
 
1472451.2%
 
1852241.1%
 
Other values (185)955744.9%
 
ValueCountFrequency (%) 
03051.4%
 
19< 0.1%
 
21850.9%
 
3610.3%
 
4140.1%
 
ValueCountFrequency (%) 
2564< 0.1%
 
250340.2%
 
2451< 0.1%
 
231280.1%
 
2234< 0.1%
 

wtd_range_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count11407
Unique (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.369884879828035
Minimum0.0
Maximum240.164343938996
Zeros286
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:00.060349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.80027739
Q128.59813665
median43
Q360.22449106
95-th percentile133.467
Maximum240.1643439
Range240.1643439
Interquartile range (IQR)31.62635441

Descriptive statistics

Standard deviation35.01935635
Coefficient of variation (CV)0.6817098468
Kurtosis2.894670372
Mean51.36988488
Median Absolute Deviation (MAD)15.27692308
Skewness1.643162461
Sum1092277.862
Variance1226.355319
2021-08-25T17:34:00.141167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02861.3%
 
65.428571431800.8%
 
38.51260.6%
 
48.751220.6%
 
22.615384621100.5%
 
16.26666667840.4%
 
55.28571429800.4%
 
55.71428571780.4%
 
35.12307692620.3%
 
46.84285714530.2%
 
Other values (11397)2008294.4%
 
ValueCountFrequency (%) 
02861.3%
 
0.42331288341< 0.1%
 
0.451< 0.1%
 
0.50607287452< 0.1%
 
0.61< 0.1%
 
ValueCountFrequency (%) 
240.16434391< 0.1%
 
230.841< 0.1%
 
208.031< 0.1%
 
204.191< 0.1%
 
204.11442791< 0.1%
 

std_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count2529
Unique (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.60126669129966
Minimum0.0
Maximum115.5
Zeros305
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:00.228932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.31245915
Q135.11251755
median58.66310595
Q369.42449136
95-th percentile77.69942085
Maximum115.5
Range115.5
Interquartile range (IQR)34.3119738

Descriptive statistics

Standard deviation22.89839618
Coefficient of variation (CV)0.4437564744
Kurtosis-0.4957796115
Mean51.60126669
Median Absolute Deviation (MAD)12.63738493
Skewness-0.7492086491
Sum1097197.734
Variance524.3365477
2021-08-25T17:34:00.307723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
77.525802167203.4%
 
65.579627173581.7%
 
58.60853183231.5%
 
03051.4%
 
69.922814592671.3%
 
76.793228872541.2%
 
11850.9%
 
70.406249721670.8%
 
69.424491361670.8%
 
75.23754051550.7%
 
Other values (2519)1836286.4%
 
ValueCountFrequency (%) 
03051.4%
 
0.59< 0.1%
 
11850.9%
 
1.2472191291< 0.1%
 
1.5600.3%
 
ValueCountFrequency (%) 
115.57< 0.1%
 
106.92374621< 0.1%
 
102.49661246< 0.1%
 
102.21871974< 0.1%
 
102.00980353< 0.1%
 

wtd_std_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct count14312
Unique (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.340464937542954
Minimum0.0
Maximum97.1407108700226
Zeros305
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:00.396522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.425898158
Q132.01695813
median59.93292869
Q373.7772779
95-th percentile80.79742919
Maximum97.14071087
Range97.14071087
Interquartile range (IQR)41.76031977

Descriptive statistics

Standard deviation25.29452404
Coefficient of variation (CV)0.4832689979
Kurtosis-0.8577846036
Mean52.34046494
Median Absolute Deviation (MAD)17.53941503
Skewness-0.6459069435
Sum1112915.306
Variance639.8129465
2021-08-25T17:34:00.474314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03051.4%
 
79.235399421100.5%
 
66.319295880.4%
 
67.1114577580.3%
 
27.34146221570.3%
 
79.35317019450.2%
 
67.91140687440.2%
 
51.98317035440.2%
 
76.10770146400.2%
 
70.11320693320.2%
 
Other values (14302)2044096.1%
 
ValueCountFrequency (%) 
03051.4%
 
0.048975095711< 0.1%
 
0.052896502721< 0.1%
 
0.094820883781< 0.1%
 
0.11749042511< 0.1%
 
ValueCountFrequency (%) 
97.140710871< 0.1%
 
91.51< 0.1%
 
90.164501311< 0.1%
 
90.0299272< 0.1%
 
89.809679441< 0.1%
 

mean_Density
Real number (ℝ≥0)

Distinct count3274
Unique (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6111.465214254487
Minimum1.429
Maximum22590.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:00.558096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile3192.85725
Q14513.5
median5329.0858
Q36728
95-th percentile11894.5
Maximum22590
Range22588.571
Interquartile range (IQR)2214.5

Descriptive statistics

Standard deviation2846.785185
Coefficient of variation (CV)0.4658105847
Kurtosis6.187155729
Mean6111.465214
Median Absolute Deviation (MAD)1074.9142
Skewness2.103343841
Sum129948084.9
Variance8104185.889
2021-08-25T17:34:00.632891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4235.857257203.4%
 
4434.357253581.7%
 
4584.28583231.5%
 
4816.68582671.3%
 
4716.68582541.2%
 
4617.88581670.8%
 
4963.48581660.8%
 
4565.57151630.8%
 
4654.357251550.7%
 
4033.48581540.7%
 
Other values (3264)1853687.2%
 
ValueCountFrequency (%) 
1.4291< 0.1%
 
484.71451< 0.1%
 
5356< 0.1%
 
754.43463331< 0.1%
 
779.3352251< 0.1%
 
ValueCountFrequency (%) 
225904< 0.1%
 
225757< 0.1%
 
225603< 0.1%
 
220052< 0.1%
 
21805230.1%
 

wtd_mean_Density
Real number (ℝ≥0)

Distinct count15010
Unique (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5267.188547254163
Minimum1.429
Maximum22590.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:00.716667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile2390.291597
Q12999.158291
median4303.4215
Q36416.333333
95-th percentile11221.5539
Maximum22590
Range22588.571
Interquartile range (IQR)3417.175042

Descriptive statistics

Standard deviation3221.314506
Coefficient of variation (CV)0.6115813924
Kurtosis6.23706377
Mean5267.188547
Median Absolute Deviation (MAD)1367.490643
Skewness2.137763365
Sum111996230.1
Variance10376867.15
2021-08-25T17:34:00.790469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2952.4617691100.5%
 
2953.4288830.4%
 
2961.473714530.2%
 
2219.333333470.2%
 
3608.052182450.2%
 
5536.428625440.2%
 
5481.918429440.2%
 
7310430.2%
 
3156.2288400.2%
 
6775390.2%
 
Other values (15000)2071597.4%
 
ValueCountFrequency (%) 
1.4291< 0.1%
 
370.65330191< 0.1%
 
466.071921< 0.1%
 
480.471751< 0.1%
 
484.71451< 0.1%
 
ValueCountFrequency (%) 
225904< 0.1%
 
22585.51< 0.1%
 
225752< 0.1%
 
225721< 0.1%
 
225692< 0.1%
 

gmean_Density
Real number (ℝ≥0)

Distinct count3332
Unique (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3460.6922352150764
Minimum1.429
Maximum22590.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:00.871256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile302.3250092
Q1883.1172781
median1339.974702
Q35794.965188
95-th percentile10674.60538
Maximum22590
Range22588.571
Interquartile range (IQR)4911.847909

Descriptive statistics

Standard deviation3703.25637
Coefficient of variation (CV)1.070091218
Kurtosis3.19030999
Mean3460.692235
Median Absolute Deviation (MAD)727.7486841
Skewness1.659128256
Sum73584699
Variance13714107.74
2021-08-25T17:34:00.947051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
669.55658787203.4%
 
674.48475143581.7%
 
874.16478633231.5%
 
1074.9034882671.3%
 
1059.4084822541.2%
 
1043.1537921670.8%
 
1096.1472841660.8%
 
724.95321091550.7%
 
843.94534451540.7%
 
883.11727811500.7%
 
Other values (3322)1854987.2%
 
ValueCountFrequency (%) 
1.4291< 0.1%
 
6.9143015162< 0.1%
 
7.4579589921< 0.1%
 
8.6757028321< 0.1%
 
13.274185472< 0.1%
 
ValueCountFrequency (%) 
225904< 0.1%
 
22574.995027< 0.1%
 
225603< 0.1%
 
21997.999912< 0.1%
 
21790.86506230.1%
 

wtd_gmean_Density
Real number (ℝ≥0)

Distinct count15085
Unique (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3117.2411099859073
Minimum0.686244596122796
Maximum22590.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:01.030829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6862445961
5-th percentile51.58202215
Q166.74683633
median1515.364631
Q35766.015191
95-th percentile10115.98933
Maximum22590
Range22589.31376
Interquartile range (IQR)5699.268354

Descriptive statistics

Standard deviation3975.122587
Coefficient of variation (CV)1.275205365
Kurtosis3.43115051
Mean3117.24111
Median Absolute Deviation (MAD)1459.733009
Skewness1.650929855
Sum66281897.72
Variance15801599.59
2021-08-25T17:34:01.106624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
66.342168961100.5%
 
64.62288119830.4%
 
53.42701749530.2%
 
2190.987982470.2%
 
67.47472444450.2%
 
1780.077447440.2%
 
1814.768131440.2%
 
71.23723588400.2%
 
7310340.2%
 
56.43462375320.2%
 
Other values (15075)2073197.5%
 
ValueCountFrequency (%) 
0.68624459611< 0.1%
 
1.4291< 0.1%
 
2.1131321191< 0.1%
 
2.1169238891< 0.1%
 
2.2088747911< 0.1%
 
ValueCountFrequency (%) 
225904< 0.1%
 
22585.497461< 0.1%
 
22574.995022< 0.1%
 
22571.995221< 0.1%
 
22568.995812< 0.1%
 

entropy_Density
Real number (ℝ≥0)

ZEROS

Distinct count3283
Unique (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.072424606420924
Minimum0.0
Maximum1.9542965723777
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:01.188997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4884668212
Q10.91395853
median1.090609911
Q31.323930243
95-th percentile1.52214603
Maximum1.954296572
Range1.954296572
Interquartile range (IQR)0.4099717134

Descriptive statistics

Standard deviation0.3423562909
Coefficient of variation (CV)0.3192357662
Kurtosis0.6150511565
Mean1.072424606
Median Absolute Deviation (MAD)0.2299494278
Skewness-0.8074273614
Sum22802.96441
Variance0.1172078299
2021-08-25T17:34:01.271811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.0154071237203.4%
 
0.99598277963581.7%
 
1.1617743573231.5%
 
02851.3%
 
1.3222130672671.3%
 
1.3239302432541.2%
 
1.3245483051670.8%
 
1.3180416651660.8%
 
1.0331288011550.7%
 
1.2247501851540.7%
 
Other values (3273)1841486.6%
 
ValueCountFrequency (%) 
02851.3%
 
7.088954969e-053< 0.1%
 
9.573637485e-05160.1%
 
0.00013075839443< 0.1%
 
0.00043068155691< 0.1%
 
ValueCountFrequency (%) 
1.9542965724< 0.1%
 
1.8218363221< 0.1%
 
1.814525496< 0.1%
 
1.8078852544< 0.1%
 
1.8071699644< 0.1%
 

wtd_entropy_Density
Real number (ℝ≥0)

ZEROS

Distinct count15087
Unique (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8560366124008445
Minimum0.0
Maximum1.70342035029737
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:01.364576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1731016589
Q10.6886932072
median0.8827469203
Q31.080938754
95-th percentile1.321529643
Maximum1.70342035
Range1.70342035
Interquartile range (IQR)0.392245547

Descriptive statistics

Standard deviation0.3197607271
Coefficient of variation (CV)0.3735362746
Kurtosis0.4152475151
Mean0.8560366124
Median Absolute Deviation (MAD)0.1958389155
Skewness-0.6025603332
Sum18201.90649
Variance0.1022469226
2021-08-25T17:34:01.451452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
0.81279814581100.5%
 
1.099512422830.4%
 
0.7696283325530.2%
 
0.5741412409470.2%
 
0.9521042721450.2%
 
1.097736440.2%
 
0.8109849123440.2%
 
0.7186358431400.2%
 
0.8285585211320.2%
 
Other values (15077)2048096.3%
 
ValueCountFrequency (%) 
02851.3%
 
7.218570912e-071< 0.1%
 
3.668728359e-061< 0.1%
 
3.777641839e-061< 0.1%
 
6.868939161e-061< 0.1%
 
ValueCountFrequency (%) 
1.703420351< 0.1%
 
1.6941387811< 0.1%
 
1.674153371< 0.1%
 
1.6590953874< 0.1%
 
1.6515575321< 0.1%
 

range_Density
Real number (ℝ≥0)

ZEROS

Distinct count890
Unique (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8665.438817941964
Minimum0.0
Maximum22588.571
Zeros299
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:01.538222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1180
Q16648
median8958.571
Q39778.571
95-th percentile16414
Maximum22588.571
Range22588.571
Interquartile range (IQR)3130.571

Descriptive statistics

Standard deviation4097.126831
Coefficient of variation (CV)0.4728123892
Kurtosis1.163675958
Mean8665.438818
Median Absolute Deviation (MAD)1577.571
Skewness0.3751042979
Sum184253225.6
Variance16786448.27
2021-08-25T17:34:01.610030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8958.571634629.8%
 
9778.57114987.0%
 
11338.5717443.5%
 
13532.5716983.3%
 
11848.5716252.9%
 
7872.5714382.1%
 
02991.4%
 
12368.5712551.2%
 
58702000.9%
 
9064.5711840.9%
 
Other values (880)997646.9%
 
ValueCountFrequency (%) 
02991.4%
 
307< 0.1%
 
702< 0.1%
 
804< 0.1%
 
945< 0.1%
 
ValueCountFrequency (%) 
22588.571180.1%
 
22559.91013< 0.1%
 
22558.571220.1%
 
220252< 0.1%
 
21448.7492< 0.1%
 

wtd_range_Density
Real number (ℝ≥0)

ZEROS

Distinct count9279
Unique (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2902.7368144493635
Minimum0.0
Maximum22434.16
Zeros287
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:01.690813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile994.7616667
Q11656.847429
median2082.956581
Q33409.026316
95-th percentile6788
Maximum22434.16
Range22434.16
Interquartile range (IQR)1752.178887

Descriptive statistics

Standard deviation2398.47102
Coefficient of variation (CV)0.8262791886
Kurtosis15.7644469
Mean2902.736814
Median Absolute Deviation (MAD)622.9565814
Skewness3.322725557
Sum61720892.89
Variance5752663.233
2021-08-25T17:34:01.765616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2066.9228467263.4%
 
3839.7958573711.7%
 
1303.2378673541.7%
 
02871.3%
 
1623.4834292361.1%
 
2388.57122191.0%
 
2444.8213751870.9%
 
1279.1834291850.9%
 
1377.6920771450.7%
 
2592.6666671240.6%
 
Other values (9269)1842986.7%
 
ValueCountFrequency (%) 
02871.3%
 
1.681< 0.1%
 
7.181< 0.1%
 
101< 0.1%
 
14.444444441< 0.1%
 
ValueCountFrequency (%) 
22434.161< 0.1%
 
22273.31< 0.1%
 
22248.71< 0.1%
 
22167.91< 0.1%
 
22133.081< 0.1%
 

std_Density
Real number (ℝ≥0)

ZEROS

Distinct count3265
Unique (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3416.9107839604876
Minimum0.0
Maximum10724.3745
Zeros299
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:01.846396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.8311627
Q12819.497063
median3301.890502
Q34004.273231
95-th percentile7055.044448
Maximum10724.3745
Range10724.3745
Interquartile range (IQR)1184.776169

Descriptive statistics

Standard deviation1673.624915
Coefficient of variation (CV)0.4898064424
Kurtosis2.133264716
Mean3416.910784
Median Absolute Deviation (MAD)608.660391
Skewness0.8606249985
Sum72653774
Variance2801020.357
2021-08-25T17:34:01.926183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3194.9389467203.4%
 
3402.8561963581.7%
 
4004.2732313231.5%
 
02991.4%
 
3084.7293422671.3%
 
3015.1106572541.2%
 
2958.0214921670.8%
 
3206.8490961660.8%
 
3306.1628971550.7%
 
3207.2567581540.7%
 
Other values (3255)1840086.5%
 
ValueCountFrequency (%) 
02991.4%
 
157< 0.1%
 
352< 0.1%
 
404< 0.1%
 
475< 0.1%
 
ValueCountFrequency (%) 
10724.37451< 0.1%
 
10509.37452< 0.1%
 
105052< 0.1%
 
10452.753968< 0.1%
 
103714< 0.1%
 

wtd_std_Density
Real number (ℝ≥0)

ZEROS

Distinct count14939
Unique (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319.17062787988
Minimum0.0
Maximum10410.9320049395
Zeros298
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:02.016909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile394.4089884
Q12564.342926
median3625.631828
Q33959.191394
95-th percentile6010.489958
Maximum10410.932
Range10410.932
Interquartile range (IQR)1394.848469

Descriptive statistics

Standard deviation1611.799629
Coefficient of variation (CV)0.4856031251
Kurtosis2.035300947
Mean3319.170628
Median Absolute Deviation (MAD)476.994191
Skewness0.4546977802
Sum70575525.06
Variance2597898.046
2021-08-25T17:34:02.095730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02981.4%
 
3639.1292471100.5%
 
3977.060817830.4%
 
3581.848921530.2%
 
340.354064470.2%
 
4695.920534450.2%
 
3275.968307440.2%
 
3919.183057440.2%
 
3797.707175400.2%
 
535390.2%
 
Other values (14929)2046096.2%
 
ValueCountFrequency (%) 
02981.4%
 
9.094947018e-131< 0.1%
 
8.3436514191< 0.1%
 
10.712142641< 0.1%
 
12.990381061< 0.1%
 
ValueCountFrequency (%) 
10410.9321< 0.1%
 
10156.955616< 0.1%
 
10156.611661< 0.1%
 
10155.235591< 0.1%
 
10068.359574< 0.1%
 

mean_ElectronAffinity
Real number (ℝ≥0)

Distinct count2377
Unique (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.87975062184181
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:02.177479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile38.7175
Q162.09
median73.1
Q385.50416667
95-th percentile132.025
Maximum326.1
Range324.6
Interquartile range (IQR)23.41416667

Descriptive statistics

Standard deviation27.70188963
Coefficient of variation (CV)0.3603275167
Kurtosis3.09882763
Mean76.87975062
Median Absolute Deviation (MAD)11.39
Skewness1.098437438
Sum1634694.137
Variance767.3946889
2021-08-25T17:34:02.303727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
77.23757203.4%
 
82.33754972.3%
 
79.60753581.7%
 
73.13231.5%
 
72.093131.5%
 
62.093021.4%
 
76.172511.2%
 
69.51770.8%
 
91.351770.8%
 
71.691670.8%
 
Other values (2367)1797884.6%
 
ValueCountFrequency (%) 
1.5510.2%
 
2.6853< 0.1%
 
3.873< 0.1%
 
52< 0.1%
 
5.35< 0.1%
 
ValueCountFrequency (%) 
326.11< 0.1%
 
296.71< 0.1%
 
228.31< 0.1%
 
215.7757< 0.1%
 
211.91< 0.1%
 

wtd_mean_ElectronAffinity
Real number (ℝ≥0)

Distinct count13526
Unique (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.71748621630398
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:02.541092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile34.02153247
Q173.35
median102.8568627
Q3110.7384615
95-th percentile144.850436
Maximum326.1
Range324.6
Interquartile range (IQR)37.38846154

Descriptive statistics

Standard deviation32.27638701
Coefficient of variation (CV)0.3481154238
Kurtosis0.7261955046
Mean92.71748622
Median Absolute Deviation (MAD)13.01336275
Skewness-0.2160445577
Sum1971451.909
Variance1041.765159
2021-08-25T17:34:02.647807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
110.73846152671.3%
 
113.27142861720.8%
 
81.716666671340.6%
 
109.16923081100.5%
 
105.4753333830.4%
 
83.51428571830.4%
 
19.3590.3%
 
111.7792143530.2%
 
1.5510.2%
 
95.2460.2%
 
Other values (13516)2020595.0%
 
ValueCountFrequency (%) 
1.5510.2%
 
1.5295315681< 0.1%
 
1.6451< 0.1%
 
1.792< 0.1%
 
1.8951< 0.1%
 
ValueCountFrequency (%) 
326.11< 0.1%
 
296.71< 0.1%
 
259.121< 0.1%
 
229.5751< 0.1%
 
220.03421< 0.1%
 

gmean_ElectronAffinity
Real number (ℝ≥0)

Distinct count2678
Unique (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.35950154241109
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:02.740559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile18.3429983
Q133.70051225
median51.47011272
Q367.50590037
95-th percentile111.7273467
Maximum326.1
Range324.6
Interquartile range (IQR)33.80538812

Descriptive statistics

Standard deviation29.00742488
Coefficient of variation (CV)0.5336219807
Kurtosis3.074661062
Mean54.35950154
Median Absolute Deviation (MAD)17.21164662
Skewness1.349735771
Sum1155846.081
Variance841.4306982
2021-08-25T17:34:02.838296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
53.527964657203.4%
 
60.721492834972.3%
 
48.477264683581.7%
 
33.148782763231.5%
 
53.116081653131.5%
 
26.186824393021.4%
 
58.753723872511.2%
 
35.674469711770.8%
 
82.046890511770.8%
 
52.696967481670.8%
 
Other values (2668)1797884.6%
 
ValueCountFrequency (%) 
1.5510.2%
 
2.4093567613< 0.1%
 
3.3019272491< 0.1%
 
3.5707142142< 0.1%
 
3.694590645< 0.1%
 
ValueCountFrequency (%) 
326.11< 0.1%
 
296.71< 0.1%
 
207.3603385160.1%
 
207.17339051< 0.1%
 
206.85< 0.1%
 

wtd_gmean_ElectronAffinity
Real number (ℝ≥0)

Distinct count13752
Unique (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.41622533082105
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:02.960968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile22.17728668
Q150.77212416
median73.17395797
Q389.9756704
95-th percentile128.3922157
Maximum326.1
Range324.6
Interquartile range (IQR)39.20354624

Descriptive statistics

Standard deviation31.64844376
Coefficient of variation (CV)0.4370352585
Kurtosis0.9887192697
Mean72.41622533
Median Absolute Deviation (MAD)19.22201829
Skewness0.4131858576
Sum1539786.199
Variance1001.623992
2021-08-25T17:34:03.054718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
103.94732071720.8%
 
89.962915761670.8%
 
65.911019691340.6%
 
86.53937731100.5%
 
89.962915761000.5%
 
68.54728717830.4%
 
60.65241351830.4%
 
10.60546769590.3%
 
98.41196213530.2%
 
1.5510.2%
 
Other values (13742)2025195.2%
 
ValueCountFrequency (%) 
1.5510.2%
 
1.5072489981< 0.1%
 
1.5336686161< 0.1%
 
1.5359304351< 0.1%
 
1.5510451591< 0.1%
 
ValueCountFrequency (%) 
326.11< 0.1%
 
296.71< 0.1%
 
242.76150211< 0.1%
 
216.33124751< 0.1%
 
214.65165851< 0.1%
 

entropy_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count2635
Unique (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0702497970193114
Minimum0.0
Maximum1.76773180911287
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:03.148468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4204349184
Q10.8905893863
median1.138284462
Q31.345893643
95-th percentile1.497410605
Maximum1.767731809
Range1.767731809
Interquartile range (IQR)0.455304257

Descriptive statistics

Standard deviation0.3433911388
Coefficient of variation (CV)0.3208513935
Kurtosis0.4984844123
Mean1.070249797
Median Absolute Deviation (MAD)0.2157674998
Skewness-0.9123789733
Sum22756.72143
Variance0.1179174742
2021-08-25T17:34:03.242250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1051821747203.4%
 
1.16401324972.3%
 
1.0966717693581.7%
 
1.2008859063231.5%
 
1.3574289293131.5%
 
1.1304275723021.4%
 
02851.3%
 
1.4028085852511.2%
 
1.28520321770.8%
 
1.4264183821770.8%
 
Other values (2625)1786084.0%
 
ValueCountFrequency (%) 
02851.3%
 
0.03993039624< 0.1%
 
0.042702148271< 0.1%
 
0.054804559822< 0.1%
 
0.060462091671< 0.1%
 
ValueCountFrequency (%) 
1.7677318094< 0.1%
 
1.767281102190.1%
 
1.7672218094< 0.1%
 
1.7630035525< 0.1%
 
1.7588413274< 0.1%
 

wtd_entropy_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count14078
Unique (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7707565499103158
Minimum0.0
Maximum1.67539975792966
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:03.337662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1841362187
Q10.660661569
median0.7812048387
Q30.8775407919
95-th percentile1.269888603
Maximum1.675399758
Range1.675399758
Interquartile range (IQR)0.2168792228

Descriptive statistics

Standard deviation0.2859862465
Coefficient of variation (CV)0.371046145
Kurtosis0.9546311912
Mean0.7707565499
Median Absolute Deviation (MAD)0.1126567134
Skewness-0.2305563686
Sum16388.59652
Variance0.08178813321
2021-08-25T17:34:03.435401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
0.80232160931410.7%
 
0.76276103211100.5%
 
0.8276712151830.4%
 
0.822660771780.4%
 
1.206163367650.3%
 
1.012324005620.3%
 
0.777657156530.2%
 
0.1202120616470.2%
 
0.6453703902450.2%
 
Other values (14068)2029495.4%
 
ValueCountFrequency (%) 
02851.3%
 
0.00022280619151< 0.1%
 
0.00029612594211< 0.1%
 
0.00029815553281< 0.1%
 
0.00038510480691< 0.1%
 
ValueCountFrequency (%) 
1.6753997582< 0.1%
 
1.6753747211< 0.1%
 
1.6667493841< 0.1%
 
1.663406951< 0.1%
 
1.6612773631< 0.1%
 

range_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count644
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.73051403847057
Minimum0.0
Maximum349.0
Zeros310
Zeros (%)1.5%
Memory size166.1 KiB
2021-08-25T17:34:03.527687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.7
Q186.7
median127.05
Q3138.63
95-th percentile200
Maximum349
Range349
Interquartile range (IQR)51.93

Descriptive statistics

Standard deviation58.70032658
Coefficient of variation (CV)0.4862095308
Kurtosis3.261850945
Mean120.730514
Median Absolute Deviation (MAD)13.95
Skewness0.9433614815
Sum2567092.92
Variance3445.72834
2021-08-25T17:34:03.619442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
127.05325915.3%
 
138.63285913.4%
 
135.97214010.1%
 
14116757.9%
 
127.23471.6%
 
03101.5%
 
912691.3%
 
312.32671.3%
 
64.052511.2%
 
179.32431.1%
 
Other values (634)964345.4%
 
ValueCountFrequency (%) 
03101.5%
 
0.610< 0.1%
 
0.66< 0.1%
 
0.74< 0.1%
 
0.96< 0.1%
 
ValueCountFrequency (%) 
349210.1%
 
346.63540.3%
 
343.978< 0.1%
 
342450.2%
 
335.051< 0.1%
 

wtd_range_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count10937
Unique (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.33263739556875
Minimum0.0
Maximum218.6966
Zeros291
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:03.715184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.4748
Q134.036
median71.15625
Q376.70696452
95-th percentile98.11888985
Maximum218.6966
Range218.6966
Interquartile range (IQR)42.67096452

Descriptive statistics

Standard deviation28.6204094
Coefficient of variation (CV)0.4823721084
Kurtosis0.7549372571
Mean59.3326374
Median Absolute Deviation (MAD)12.87975
Skewness0.1146026101
Sum1261589.869
Variance819.1278342
2021-08-25T17:34:03.795935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02911.4%
 
74.353846152701.3%
 
75.7421760.8%
 
81.288642861440.7%
 
80.3251410.7%
 
46.971428571110.5%
 
76.433076921080.5%
 
73.94780.4%
 
29.49125690.3%
 
29.25670.3%
 
Other values (10927)1980893.2%
 
ValueCountFrequency (%) 
02911.4%
 
0.066666666671< 0.1%
 
0.081< 0.1%
 
0.0981< 0.1%
 
0.11304347831< 0.1%
 
ValueCountFrequency (%) 
218.69661< 0.1%
 
215.61< 0.1%
 
215.4751< 0.1%
 
211.5651< 0.1%
 
210.8851< 0.1%
 

std_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count2562
Unique (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.912207320209305
Minimum0.0
Maximum162.895331083763
Zeros310
Zeros (%)1.5%
Memory size166.1 KiB
2021-08-25T17:34:03.880708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.20294781
Q138.37241013
median51.12571974
Q356.221787
95-th percentile88.2
Maximum162.8953311
Range162.8953311
Interquartile range (IQR)17.84937687

Descriptive statistics

Standard deviation21.74052087
Coefficient of variation (CV)0.4444804694
Kurtosis2.365764845
Mean48.91220732
Median Absolute Deviation (MAD)6.519952779
Skewness0.5774344217
Sum1040020.264
Variance472.6502476
2021-08-25T17:34:03.974492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
54.830755237203.4%
 
51.125719744972.3%
 
54.373096923581.7%
 
57.645672523231.5%
 
50.11104073131.5%
 
03101.5%
 
57.644743043021.4%
 
47.362681512511.2%
 
40.643172861770.8%
 
53.235197941770.8%
 
Other values (2552)1783583.9%
 
ValueCountFrequency (%) 
03101.5%
 
0.310< 0.1%
 
0.36< 0.1%
 
0.354< 0.1%
 
0.456< 0.1%
 
ValueCountFrequency (%) 
162.89533112< 0.1%
 
155.68436792< 0.1%
 
153.81418085< 0.1%
 
150.13826961< 0.1%
 
149.4068571< 0.1%
 

wtd_std_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct count13581
Unique (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.40935592805147
Minimum0.0
Maximum169.075861752682
Zeros304
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:04.070240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.944001738
Q133.44012348
median48.02986639
Q353.32083818
95-th percentile76.42169764
Maximum169.0758618
Range169.0758618
Interquartile range (IQR)19.88071471

Descriptive statistics

Standard deviation20.42929319
Coefficient of variation (CV)0.4600222805
Kurtosis3.262020698
Mean44.40935593
Median Absolute Deviation (MAD)7.981974801
Skewness0.5222312797
Sum944276.1351
Variance417.3560202
2021-08-25T17:34:04.164982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03041.4%
 
47.216641272671.3%
 
39.807742041720.8%
 
48.460823241340.6%
 
49.445714361100.5%
 
52.67078227830.4%
 
50.34379458830.4%
 
12.58650071590.3%
 
42.55789235530.2%
 
39.54243228460.2%
 
Other values (13571)1995293.8%
 
ValueCountFrequency (%) 
03041.4%
 
2.220446049e-166< 0.1%
 
0.052896502721< 0.1%
 
0.08199589991< 0.1%
 
0.1004215471< 0.1%
 
ValueCountFrequency (%) 
169.07586181< 0.1%
 
162.89533111< 0.1%
 
159.01701031< 0.1%
 
158.9483711< 0.1%
 
158.29777081< 0.1%
 

mean_FusionHeat
Real number (ℝ≥0)

Distinct count2660
Unique (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.296112664595851
Minimum0.222
Maximum105.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:04.260721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile5.903
Q17.588666667
median9.3044
Q317.11444444
95-th percentile38.4
Maximum105
Range104.778
Interquartile range (IQR)9.525777778

Descriptive statistics

Standard deviation11.30018796
Coefficient of variation (CV)0.7904378079
Kurtosis9.077665873
Mean14.29611266
Median Absolute Deviation (MAD)2.524
Skewness2.52278188
Sum303978.2436
Variance127.6942479
2021-08-25T17:34:04.343470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
8.18057353.5%
 
6.90555132.4%
 
8.15243231.5%
 
8.01442671.3%
 
7.92442541.2%
 
9.30441830.9%
 
7.80441790.8%
 
7.23241750.8%
 
5.9031520.7%
 
6.81241520.7%
 
Other values (2650)1833086.2%
 
ValueCountFrequency (%) 
0.2221< 0.1%
 
0.647< 0.1%
 
1.0455< 0.1%
 
1.1442< 0.1%
 
1.4111< 0.1%
 
ValueCountFrequency (%) 
105270.1%
 
77.62< 0.1%
 
77.53< 0.1%
 
70.5340.2%
 
709< 0.1%
 

wtd_mean_FusionHeat
Real number (ℝ≥0)

Distinct count14194
Unique (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.848000883359619
Minimum0.222
Maximum105.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:04.436223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile3.834714286
Q15.033406593
median8.330666667
Q318.51428571
95-th percentile40.75583333
Maximum105
Range104.778
Interquartile range (IQR)13.48087912

Descriptive statistics

Standard deviation14.27933547
Coefficient of variation (CV)1.031147788
Kurtosis10.63235429
Mean13.84800088
Median Absolute Deviation (MAD)3.834078001
Skewness2.763825803
Sum294450.0428
Variance203.8994216
2021-08-25T17:34:04.526980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5.2503076921230.6%
 
4.9544830.4%
 
3.834714286610.3%
 
9.560285714540.3%
 
5.4384530.2%
 
9.09525520.2%
 
36.23333333470.2%
 
3.530181818450.2%
 
3.846857143420.2%
 
3.992571429320.2%
 
Other values (14184)2067197.2%
 
ValueCountFrequency (%) 
0.2221< 0.1%
 
0.647< 0.1%
 
0.94866666672< 0.1%
 
1.0453< 0.1%
 
1.3161< 0.1%
 
ValueCountFrequency (%) 
105270.1%
 
104.1751< 0.1%
 
103.461< 0.1%
 
102.4924391< 0.1%
 
102.361< 0.1%
 

gmean_FusionHeat
Real number (ℝ≥0)

Distinct count3166
Unique (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.136976826474308
Minimum0.222
Maximum105.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:04.631700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile2.701701941
Q14.109978385
median5.253497632
Q313.60003711
95-th percentile30.16620626
Maximum105
Range104.778
Interquartile range (IQR)9.490058726

Descriptive statistics

Standard deviation10.06590063
Coefficient of variation (CV)0.9929884226
Kurtosis12.7095885
Mean10.13697683
Median Absolute Deviation (MAD)1.774022782
Skewness2.665477198
Sum215542.5383
Variance101.3223555
2021-08-25T17:34:04.726447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.0355689997353.5%
 
3.4794748495132.4%
 
4.6464334923231.5%
 
4.5496845852671.3%
 
4.4925574542541.2%
 
5.1605933571830.9%
 
4.4115573721760.8%
 
4.163921521750.8%
 
2.7017019411520.7%
 
3.8395849761520.7%
 
Other values (3156)1833386.2%
 
ValueCountFrequency (%) 
0.2221< 0.1%
 
0.647< 0.1%
 
0.69610830742< 0.1%
 
0.75973679651< 0.1%
 
0.77671151042< 0.1%
 
ValueCountFrequency (%) 
105270.1%
 
72.601652872< 0.1%
 
72.456883733< 0.1%
 
64.114216622< 0.1%
 
61.4817046340.2%
 

wtd_gmean_FusionHeat
Real number (ℝ≥0)

Distinct count14767
Unique (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.141160706071776
Minimum0.222
Maximum105.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:04.827179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile1.03927302
Q11.322127267
median4.929786768
Q316.42865242
95-th percentile33.12118404
Maximum105
Range104.778
Interquartile range (IQR)15.10652516

Descriptive statistics

Standard deviation13.13400698
Coefficient of variation (CV)1.295118711
Kurtosis9.559203102
Mean10.14116071
Median Absolute Deviation (MAD)3.702420217
Skewness2.48754231
Sum215631.5001
Variance172.5021394
2021-08-25T17:34:04.924917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.336919781230.6%
 
1.321875282830.4%
 
1.039211192610.3%
 
6.229662613540.3%
 
1.381018788530.2%
 
6.29757431520.2%
 
27.91385086470.2%
 
1.053298847450.2%
 
1.040985986420.2%
 
1.063990951320.2%
 
Other values (14757)2067197.2%
 
ValueCountFrequency (%) 
0.2221< 0.1%
 
0.45204026171< 0.1%
 
0.48079929372< 0.1%
 
0.49197441961< 0.1%
 
0.52126414171< 0.1%
 
ValueCountFrequency (%) 
105270.1%
 
103.83792711< 0.1%
 
102.84120551< 0.1%
 
101.32643731< 0.1%
 
95.542260881< 0.1%
 

entropy_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count3108
Unique (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0933429814697326
Minimum0.0
Maximum2.03441025240924
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.023654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4590032962
Q10.8333325324
median1.112098197
Q31.378110416
95-th percentile1.606414999
Maximum2.034410252
Range2.034410252
Interquartile range (IQR)0.5447778834

Descriptive statistics

Standard deviation0.3759320627
Coefficient of variation (CV)0.3438372671
Kurtosis0.03235008862
Mean1.093342981
Median Absolute Deviation (MAD)0.2666779145
Skewness-0.5787080527
Sum23247.75181
Variance0.1413249158
2021-08-25T17:34:05.125414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1120981977353.5%
 
1.0885753425132.4%
 
1.3929374923231.5%
 
02851.3%
 
1.3846570532671.3%
 
1.3808303012541.2%
 
1.3901973611830.9%
 
1.3746150521760.8%
 
1.3781104161750.8%
 
1.3455084671520.7%
 
Other values (3098)1820085.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.037335089032< 0.1%
 
0.038218077791< 0.1%
 
0.0476304293310< 0.1%
 
0.054354331981< 0.1%
 
ValueCountFrequency (%) 
2.0344102524< 0.1%
 
1.9235443561< 0.1%
 
1.9204224684< 0.1%
 
1.9198362326< 0.1%
 
1.916187922< 0.1%
 

wtd_entropy_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count14885
Unique (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9140646259558485
Minimum0.0
Maximum1.7471647643042
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.225114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1884852154
Q10.6727318197
median0.9949981933
Q31.157379486
95-th percentile1.454433649
Maximum1.747164764
Range1.747164764
Interquartile range (IQR)0.4846476662

Descriptive statistics

Standard deviation0.3701247325
Coefficient of variation (CV)0.4049218425
Kurtosis-0.2220743299
Mean0.914064626
Median Absolute Deviation (MAD)0.2251661567
Skewness-0.5719749601
Sum19435.75614
Variance0.1369923176
2021-08-25T17:34:05.315871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
1.0429273591100.5%
 
1.395813727830.4%
 
0.9640310487600.3%
 
0.2788592373470.2%
 
1.17877375450.2%
 
1.33108921440.2%
 
0.9751483337440.2%
 
0.9949981933420.2%
 
0.9621486758400.2%
 
Other values (14875)2046396.2%
 
ValueCountFrequency (%) 
02851.3%
 
2.809421765e-051< 0.1%
 
0.00014263330161< 0.1%
 
0.00034938017051< 0.1%
 
0.00044929652881< 0.1%
 
ValueCountFrequency (%) 
1.7471647641< 0.1%
 
1.7451051381< 0.1%
 
1.7428659011< 0.1%
 
1.7419686071< 0.1%
 
1.7374214341< 0.1%
 

range_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count595
Unique (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.138993933123263
Minimum0.0
Maximum104.778
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.406629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.7
Q112.878
median12.878
Q323.2
95-th percentile79.5
Maximum104.778
Range104.778
Interquartile range (IQR)10.322

Descriptive statistics

Standard deviation20.37061967
Coefficient of variation (CV)0.9636513324
Kurtosis7.541584449
Mean21.13899393
Median Absolute Deviation (MAD)3.562
Skewness2.748581806
Sum449478.428
Variance414.9621457
2021-08-25T17:34:05.490439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12.878782036.8%
 
27.4785982.8%
 
13.5784472.1%
 
15.9783671.7%
 
16.9783641.7%
 
10.6783431.6%
 
02851.3%
 
19.72721.3%
 
34.272261.1%
 
25.4782081.0%
 
Other values (585)1033348.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.044< 0.1%
 
0.210< 0.1%
 
0.21< 0.1%
 
0.3140.1%
 
ValueCountFrequency (%) 
104.7781610.8%
 
104.64460.2%
 
104.44210< 0.1%
 
103.279< 0.1%
 
102.91280.1%
 

wtd_range_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count9671
Unique (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.218528401445525
Minimum0.0
Maximum102.675
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.589142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.551724138
Q12.329308946
median3.4364
Q310.49878049
95-th percentile26.16496552
Maximum102.675
Range102.675
Interquartile range (IQR)8.169471542

Descriptive statistics

Standard deviation11.41406645
Coefficient of variation (CV)1.388821196
Kurtosis25.46387844
Mean8.218528401
Median Absolute Deviation (MAD)1.771533333
Skewness4.233613879
Sum174750.5694
Variance130.2809128
2021-08-25T17:34:05.682892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.9035384625002.4%
 
1.7445714294912.3%
 
5.5825714293651.7%
 
1.6282666673041.4%
 
02851.3%
 
3.247252171.0%
 
3.3749333331220.6%
 
1.8958461541160.5%
 
6.86951020.5%
 
2.0468920.4%
 
Other values (9661)1866987.8%
 
ValueCountFrequency (%) 
02851.3%
 
0.0051< 0.1%
 
0.033333333331< 0.1%
 
0.0482< 0.1%
 
0.051< 0.1%
 
ValueCountFrequency (%) 
102.6751< 0.1%
 
102.38560981< 0.1%
 
101.60709681< 0.1%
 
101.54225811< 0.1%
 
100.661< 0.1%
 

std_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count2920
Unique (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.323333205231302
Minimum0.0
Maximum51.635
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.782625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.605868374
Q14.261339583
median4.948155288
Q39.041230005
95-th percentile34.5
Maximum51.635
Range51.635
Interquartile range (IQR)4.779890422

Descriptive statistics

Standard deviation8.671651078
Coefficient of variation (CV)1.041848363
Kurtosis8.09695817
Mean8.323333205
Median Absolute Deviation (MAD)1.130055629
Skewness2.822554806
Sum176979.0339
Variance75.19753241
2021-08-25T17:34:05.873388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.9481552887353.5%
 
4.5990641175132.4%
 
4.3610263753231.5%
 
02851.3%
 
4.4382146682671.3%
 
4.4553048652541.2%
 
4.9638692011830.9%
 
4.4892312751760.8%
 
4.1651611061750.8%
 
5.0379000591520.7%
 
Other values (2910)1820085.6%
 
ValueCountFrequency (%) 
02851.3%
 
0.024< 0.1%
 
0.110< 0.1%
 
0.11< 0.1%
 
0.15140.1%
 
ValueCountFrequency (%) 
51.6353< 0.1%
 
51.4557< 0.1%
 
51.405230.1%
 
51.335220.1%
 
51.22< 0.1%
 

wtd_std_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct count14470
Unique (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.717575894832423
Minimum0.0
Maximum51.6804823183885
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:05.974118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14.603491203
median5.500675309
Q38.017580637
95-th percentile21.89429988
Maximum51.68048232
Range51.68048232
Interquartile range (IQR)3.414089434

Descriptive statistics

Standard deviation7.288238973
Coefficient of variation (CV)0.9443689408
Kurtosis9.088330494
Mean7.717575895
Median Absolute Deviation (MAD)1.240233625
Skewness2.850133801
Sum164098.8163
Variance53.11842733
2021-08-25T17:34:06.060919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
5.6485565671230.6%
 
5.25340957830.4%
 
4.658301352610.3%
 
4.359650108540.3%
 
5.780146213530.2%
 
3.873504607520.2%
 
19.46900671470.2%
 
4.243729959450.2%
 
4.666919554420.2%
 
Other values (14460)2041896.0%
 
ValueCountFrequency (%) 
02851.3%
 
0.012570787221< 0.1%
 
0.0161< 0.1%
 
0.017320508081< 0.1%
 
0.018856180831< 0.1%
 
ValueCountFrequency (%) 
51.680482321< 0.1%
 
51.664220721< 0.1%
 
51.6351< 0.1%
 
51.621406161< 0.1%
 
51.513922252< 0.1%
 

mean_ThermalConductivity
Real number (ℝ≥0)

Distinct count1980
Unique (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.70691087705038
Minimum0.02658
Maximum332.5
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:06.145692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile26.50904667
Q161
median96.50443
Q3111.005316
95-th percentile143.6666667
Maximum332.5
Range332.47342
Interquartile range (IQR)50.005316

Descriptive statistics

Standard deviation38.51748472
Coefficient of variation (CV)0.4293703165
Kurtosis1.398990233
Mean89.70691088
Median Absolute Deviation (MAD)19.960886
Skewness0.2220860895
Sum1907438.046
Variance1483.596629
2021-08-25T17:34:06.238410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
108.7566458534.0%
 
89.6053164882.3%
 
112.0066453671.7%
 
128.6053163231.5%
 
111.0053162771.3%
 
107.7566452461.2%
 
102.8053161750.8%
 
126.2053161640.8%
 
108.004431640.8%
 
61.751630.8%
 
Other values (1970)1804384.9%
 
ValueCountFrequency (%) 
0.026581< 0.1%
 
0.1154155< 0.1%
 
0.121< 0.1%
 
0.192752< 0.1%
 
0.2052< 0.1%
 
ValueCountFrequency (%) 
332.58< 0.1%
 
317.53< 0.1%
 
2953< 0.1%
 
277.56< 0.1%
 
2754< 0.1%
 

wtd_mean_ThermalConductivity
Real number (ℝ≥0)

Distinct count13150
Unique (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.54907964090552
Minimum0.02658
Maximum406.96
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:06.336186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile19.79958528
Q154.18095341
median73.33333333
Q399.06291122
95-th percentile176.0323686
Maximum406.96
Range406.93342
Interquartile range (IQR)44.8819578

Descriptive statistics

Standard deviation45.51925597
Coefficient of variation (CV)0.5581823384
Kurtosis4.088945393
Mean81.54907964
Median Absolute Deviation (MAD)24.26271001
Skewness1.379703283
Sum1733978.08
Variance2072.002664
2021-08-25T17:34:06.426940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
96.398927691430.7%
 
72.414176840.4%
 
71.33333333790.4%
 
61.34376660.3%
 
65.33333333550.3%
 
179.0037971540.3%
 
60.82947429470.2%
 
110.214176450.2%
 
48.01449818450.2%
 
114.7368421450.2%
 
Other values (13140)2060096.9%
 
ValueCountFrequency (%) 
0.026581< 0.1%
 
0.1154153< 0.1%
 
0.121< 0.1%
 
0.1512492< 0.1%
 
0.18866666672< 0.1%
 
ValueCountFrequency (%) 
406.961< 0.1%
 
389.91< 0.1%
 
384.65116281< 0.1%
 
383.311< 0.1%
 
379.8751< 0.1%
 

gmean_ThermalConductivity
Real number (ℝ≥0)

Distinct count2737
Unique (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.841727389885175
Minimum0.02658
Maximum317.883626505047
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:06.709152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile3.122018578
Q18.339818346
median14.28764329
Q342.37130241
95-th percentile99.59919678
Maximum317.8836265
Range317.8570465
Interquartile range (IQR)34.03148407

Descriptive statistics

Standard deviation34.0595811
Coefficient of variation (CV)1.141340803
Kurtosis7.756215645
Mean29.84172739
Median Absolute Deviation (MAD)7.294559402
Skewness2.339951469
Sum634524.6495
Variance1160.055065
2021-08-25T17:34:06.803899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7.552384618534.0%
 
8.4189115994882.3%
 
8.3398183463671.7%
 
14.287643293231.5%
 
13.131173152771.3%
 
7.062487732461.2%
 
12.077935251750.8%
 
13.78390161640.8%
 
14.274194951640.8%
 
51.637760651630.8%
 
Other values (2727)1804384.9%
 
ValueCountFrequency (%) 
0.026581< 0.1%
 
0.072767781335< 0.1%
 
0.121< 0.1%
 
0.17421307637< 0.1%
 
0.18641018979< 0.1%
 
ValueCountFrequency (%) 
317.88362658< 0.1%
 
306.59419433< 0.1%
 
275.6809753< 0.1%
 
274.2261846< 0.1%
 
252.98221281< 0.1%
 

wtd_gmean_ThermalConductivity
Real number (ℝ≥0)

Distinct count14152
Unique (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.3080612970056
Minimum0.0229515567322566
Maximum376.032877586072
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:06.905631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.02295155673
5-th percentile0.619570418
Q11.087283528
median6.096120142
Q347.30804139
95-th percentile105.0902051
Maximum376.0328776
Range376.009926
Interquartile range (IQR)46.22075786

Descriptive statistics

Standard deviation40.19114955
Coefficient of variation (CV)1.471768688
Kurtosis10.20308473
Mean27.3080613
Median Absolute Deviation (MAD)5.476507184
Skewness2.588304794
Sum580651.3074
Variance1615.328502
2021-08-25T17:34:06.997066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.0962954091430.7%
 
0.9691560776840.4%
 
0.6294410225650.3%
 
26.57863649540.3%
 
48.8595171470.2%
 
0.6140212888460.2%
 
1.267782971450.2%
 
0.8086642231450.2%
 
83.23564403450.2%
 
22.54252849440.2%
 
Other values (14142)2064597.1%
 
ValueCountFrequency (%) 
0.022951556731< 0.1%
 
0.026581< 0.1%
 
0.044949372651< 0.1%
 
0.072767781333< 0.1%
 
0.11011970132< 0.1%
 
ValueCountFrequency (%) 
376.03287761< 0.1%
 
373.63285791< 0.1%
 
358.71395941< 0.1%
 
351.63254021< 0.1%
 
348.67785762< 0.1%
 

entropy_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count2711
Unique (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7276302117667414
Minimum0.0
Maximum1.63397718517195
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:07.087857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1941582906
Q10.4578102416
median0.7386938876
Q30.9622176996
95-th percentile1.244889386
Maximum1.633977185
Range1.633977185
Interquartile range (IQR)0.504407458

Descriptive statistics

Standard deviation0.3259762339
Coefficient of variation (CV)0.4479971126
Kurtosis-0.6372020351
Mean0.7276302118
Median Absolute Deviation (MAD)0.253766925
Skewness-0.121493465
Sum15471.60119
Variance0.1062605051
2021-08-25T17:34:07.186593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.33626191588534.0%
 
0.45781024164882.3%
 
0.4036932213671.7%
 
0.8719762773231.5%
 
02851.3%
 
0.7856238472771.3%
 
0.30814798982461.2%
 
0.71363656191750.8%
 
0.83502670411640.8%
 
0.93451613821640.8%
 
Other values (2701)1792184.3%
 
ValueCountFrequency (%) 
02851.3%
 
0.00068602298371< 0.1%
 
0.0011117613821< 0.1%
 
0.0013046731042< 0.1%
 
0.0013467796161< 0.1%
 
ValueCountFrequency (%) 
1.6339771851< 0.1%
 
1.6299953461< 0.1%
 
1.6234838663< 0.1%
 
1.6036150264< 0.1%
 
1.6014912234< 0.1%
 

wtd_entropy_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count14269
Unique (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5399907521509003
Minimum0.0
Maximum1.6129885131651
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:07.335162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1025479405
Q10.2506773043
median0.5457829961
Q30.777353181
95-th percentile1.097709149
Maximum1.612988513
Range1.612988513
Interquartile range (IQR)0.5266758768

Descriptive statistics

Standard deviation0.3182483994
Coefficient of variation (CV)0.5893589809
Kurtosis-0.8542550079
Mean0.5399907522
Median Absolute Deviation (MAD)0.268204878
Skewness0.3112932375
Sum11481.82336
Variance0.1012820437
2021-08-25T17:34:07.439882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
0.20314821351430.7%
 
0.7773228326830.4%
 
0.2019661265540.3%
 
0.2834121167530.2%
 
0.5648874685470.2%
 
0.7004283382450.2%
 
0.2446390467450.2%
 
0.1632190402450.2%
 
0.7758727419440.2%
 
Other values (14259)2041996.0%
 
ValueCountFrequency (%) 
02851.3%
 
2.00298365e-061< 0.1%
 
1.040978295e-051< 0.1%
 
2.080004594e-051< 0.1%
 
3.792325736e-051< 0.1%
 
ValueCountFrequency (%) 
1.6129885131< 0.1%
 
1.5842188441< 0.1%
 
1.5707051261< 0.1%
 
1.5599393831< 0.1%
 
1.5455139442< 0.1%
 

range_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count452
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.8934429116305
Minimum0.0
Maximum429.97417
Zeros301
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:07.541610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q186.382
median399.795
Q3399.97342
95-th percentile399.97342
Maximum429.97417
Range429.97417
Interquartile range (IQR)313.59142

Descriptive statistics

Standard deviation158.7035568
Coefficient of variation (CV)0.632553625
Kurtosis-1.758984643
Mean250.8934429
Median Absolute Deviation (MAD)2.795
Skewness-0.2342816252
Sum5334747.277
Variance25186.81895
2021-08-25T17:34:07.619402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
399.973421037648.8%
 
78.973424452.1%
 
1333171.5%
 
03011.4%
 
99.973422351.1%
 
822121.0%
 
78.481830.9%
 
1811820.9%
 
1341730.8%
 
1231440.7%
 
Other values (442)869540.9%
 
ValueCountFrequency (%) 
03011.4%
 
0.02452< 0.1%
 
0.179175< 0.1%
 
1420.2%
 
2760.4%
 
ValueCountFrequency (%) 
429.974174< 0.1%
 
429.97342560.3%
 
429.97231< 0.1%
 
429.81951< 0.1%
 
429.7959< 0.1%
 

wtd_range_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count7996
Unique (%)37.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.03306631473347
Minimum0.0
Maximum401.44
Zeros292
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:07.723126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.010902238
Q129.3494186
median56.55624
Q391.86924542
95-th percentile144.9583437
Maximum401.44
Range401.44
Interquartile range (IQR)62.51982682

Descriptive statistics

Standard deviation43.12331709
Coefficient of variation (CV)0.6951666209
Kurtosis4.408735255
Mean62.03306631
Median Absolute Deviation (MAD)30.84376
Skewness1.415918187
Sum1319009.089
Variance1859.620477
2021-08-25T17:34:07.817906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
57.127668579904.7%
 
92.293387263.4%
 
53.319157334302.0%
 
171.42477433711.7%
 
02921.4%
 
99.99667752221.0%
 
106.65249072191.0%
 
36.349138181510.7%
 
61.524149231460.7%
 
44.42967778960.5%
 
Other values (7986)1762082.9%
 
ValueCountFrequency (%) 
02921.4%
 
0.051< 0.1%
 
0.0522< 0.1%
 
0.0895853< 0.1%
 
0.11< 0.1%
 
ValueCountFrequency (%) 
401.441< 0.1%
 
384.11< 0.1%
 
377.791< 0.1%
 
376.84958351< 0.1%
 
372.6251< 0.1%
 

std_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count2492
Unique (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.943992919782
Minimum0.0
Maximum214.98615
Zeros301
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:07.915612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.71471896
Q137.93317182
median135.7620889
Q3153.8062717
95-th percentile168.8542438
Maximum214.98615
Range214.98615
Interquartile range (IQR)115.8730999

Descriptive statistics

Standard deviation60.14327197
Coefficient of variation (CV)0.6078516765
Kurtosis-1.641077233
Mean98.94399292
Median Absolute Deviation (MAD)33.76246867
Skewness-0.2277911361
Sum2103846.121
Variance3617.213164
2021-08-25T17:34:07.996429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
168.30104688534.0%
 
155.32960924882.3%
 
166.74235113671.7%
 
154.00802853231.5%
 
03011.4%
 
150.60019912771.3%
 
168.85424382461.2%
 
151.00287131750.8%
 
147.64386171640.8%
 
155.46967021640.8%
 
Other values (2482)1790584.2%
 
ValueCountFrequency (%) 
03011.4%
 
0.012252< 0.1%
 
0.0895855< 0.1%
 
0.5420.2%
 
1760.4%
 
ValueCountFrequency (%) 
214.986151< 0.1%
 
214.77551< 0.1%
 
213.51< 0.1%
 
2113< 0.1%
 
210.851< 0.1%
 

wtd_std_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct count13797
Unique (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.23405099692857
Minimum0.0
Maximum213.300451957452
Zeros300
Zeros (%)1.4%
Memory size166.1 KiB
2021-08-25T17:34:08.092174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.313653971
Q131.98543671
median113.5569828
Q3162.7111443
95-th percentile174.8028196
Maximum213.300452
Range213.300452
Interquartile range (IQR)130.7257076

Descriptive statistics

Standard deviation63.71035494
Coefficient of variation (CV)0.6620354675
Kurtosis-1.65386493
Mean96.234051
Median Absolute Deviation (MAD)54.13126233
Skewness-0.0879840654
Sum2046224.626
Variance4059.009326
2021-08-25T17:34:08.173953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03001.4%
 
166.44038261430.7%
 
137.579265840.4%
 
138.437714650.3%
 
191.4756549540.3%
 
62.69680127500.2%
 
138.5791307460.2%
 
59.00654924450.2%
 
112.6219306450.2%
 
174.8770114450.2%
 
Other values (13787)2038695.9%
 
ValueCountFrequency (%) 
03001.4%
 
1.776356839e-151< 0.1%
 
0.011549410762< 0.1%
 
0.052840893261< 0.1%
 
0.052896502721< 0.1%
 
ValueCountFrequency (%) 
213.3004521< 0.1%
 
2111< 0.1%
 
209.60427372< 0.1%
 
209.22270561< 0.1%
 
209.07593472< 0.1%
 

mean_Valence
Real number (ℝ≥0)

Distinct count63
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1982284600494633
Minimum1.0
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:08.258727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.166666667
Q12.333333333
median2.833333333
Q34
95-th percentile5.333333333
Maximum7
Range6
Interquartile range (IQR)1.666666667

Descriptive statistics

Standard deviation1.044611458
Coefficient of variation (CV)0.3266219005
Kurtosis0.1474425482
Mean3.19822846
Median Absolute Deviation (MAD)0.5833333333
Skewness1.003631116
Sum68003.93175
Variance1.091213098
2021-08-25T17:34:08.345497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.2519149.0%
 
318488.7%
 
2.215927.5%
 
413876.5%
 
2.612505.9%
 
59864.6%
 
2.49714.6%
 
2.59494.5%
 
4.58033.8%
 
28003.8%
 
Other values (53)876341.2%
 
ValueCountFrequency (%) 
18< 0.1%
 
1.252< 0.1%
 
1.3333333331< 0.1%
 
1.5130.1%
 
1.6666666673< 0.1%
 
ValueCountFrequency (%) 
77< 0.1%
 
6.51000.5%
 
6.333333333220.1%
 
63651.7%
 
5.753< 0.1%
 

wtd_mean_Valence
Real number (ℝ≥0)

Distinct count5737
Unique (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.153126732255915
Minimum1.0
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:08.437249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.057803468
Q12.116731518
median2.618181818
Q34.026200873
95-th percentile5.5
Maximum7
Range6
Interquartile range (IQR)1.909469356

Descriptive statistics

Standard deviation1.191248683
Coefficient of variation (CV)0.3777991764
Kurtosis-0.3371849195
Mean3.153126732
Median Absolute Deviation (MAD)0.5412587413
Skewness0.8946703493
Sum67044.93371
Variance1.419073424
2021-08-25T17:34:08.529004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.0769230776162.9%
 
24562.1%
 
34061.9%
 
53551.7%
 
4.53461.6%
 
63331.6%
 
43141.5%
 
2.1428571432661.3%
 
2.8333333332501.2%
 
2.2642857142241.1%
 
Other values (5727)1769783.2%
 
ValueCountFrequency (%) 
18< 0.1%
 
1.11< 0.1%
 
1.121< 0.1%
 
1.21< 0.1%
 
1.251< 0.1%
 
ValueCountFrequency (%) 
77< 0.1%
 
6.99941< 0.1%
 
6.99931< 0.1%
 
6.9992< 0.1%
 
6.9981< 0.1%
 

gmean_Valence
Real number (ℝ≥0)

Distinct count243
Unique (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05653554664032
Minimum1.0
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:08.631730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.279704562
median2.615320972
Q33.727919273
95-th percentile5.241482788
Maximum7
Range6
Interquartile range (IQR)1.448214711

Descriptive statistics

Standard deviation1.046257185
Coefficient of variation (CV)0.3423016578
Kurtosis0.5110117484
Mean3.056535547
Median Absolute Deviation (MAD)0.4463774296
Skewness1.168452839
Sum64991.11533
Variance1.094654097
2021-08-25T17:34:08.716505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.21336383919008.9%
 
2.16894354215707.4%
 
2.4914618799274.4%
 
2.3521580458594.0%
 
26032.8%
 
2.2894284855652.7%
 
2.401873914812.3%
 
4.4721359554772.2%
 
3.9148676414442.1%
 
2.8844991414061.9%
 
Other values (233)1303161.3%
 
ValueCountFrequency (%) 
18< 0.1%
 
1.1892071152< 0.1%
 
1.259921051< 0.1%
 
1.414213562170.1%
 
1.565084584< 0.1%
 
ValueCountFrequency (%) 
77< 0.1%
 
6.4807406981000.5%
 
6.316359598220.1%
 
63191.5%
 
5.9439219533< 0.1%
 

wtd_gmean_Valence
Real number (ℝ≥0)

Distinct count8102
Unique (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.055885157201199
Minimum1.0
Maximum7.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:08.806264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.042615523
Q12.091251253
median2.434057003
Q33.914867641
95-th percentile5.424152407
Maximum7
Range6
Interquartile range (IQR)1.823616389

Descriptive statistics

Standard deviation1.17481509
Coefficient of variation (CV)0.3844434687
Kurtosis-0.07212843482
Mean3.055885157
Median Absolute Deviation (MAD)0.3775043571
Skewness1.016800043
Sum64977.2861
Variance1.380190495
2021-08-25T17:34:08.899016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.0633622335882.8%
 
24462.1%
 
63191.5%
 
2.1192680452531.2%
 
32521.2%
 
2.7494592742181.0%
 
2.2262216392051.0%
 
2.0547993182021.0%
 
41890.9%
 
51820.9%
 
Other values (8092)1840986.6%
 
ValueCountFrequency (%) 
18< 0.1%
 
1.0681377771< 0.1%
 
1.0717734631< 0.1%
 
1.1161231741< 0.1%
 
1.147202691< 0.1%
 
ValueCountFrequency (%) 
77< 0.1%
 
6.9993525971< 0.1%
 
6.9992447021< 0.1%
 
6.9989210282< 0.1%
 
6.9978422231< 0.1%
 

entropy_Valence
Real number (ℝ≥0)

ZEROS

Distinct count319
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2956824572428525
Minimum0.0
Maximum2.14196333177366
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:08.990772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6615632382
Q11.060856947
median1.368922361
Q31.589026915
95-th percentile1.778233306
Maximum2.141963332
Range2.141963332
Interquartile range (IQR)0.528169968

Descriptive statistics

Standard deviation0.3931551102
Coefficient of variation (CV)0.3034347714
Kurtosis0.1585770074
Mean1.295682457
Median Absolute Deviation (MAD)0.2741421347
Skewness-0.773287864
Sum27550.09609
Variance0.1545709407
2021-08-25T17:34:09.071555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.36892236119028.9%
 
1.59416669915607.3%
 
1.564957258814.1%
 
1.5890269158594.0%
 
0.69314718065982.8%
 
0.6730116674982.3%
 
0.68696157664742.2%
 
1.7489707514542.1%
 
1.7721393883861.8%
 
1.0775563273801.8%
 
Other values (309)1327162.4%
 
ValueCountFrequency (%) 
02851.3%
 
0.37677016132< 0.1%
 
0.41011631833< 0.1%
 
0.4505612089210.1%
 
0.5004024235860.4%
 
ValueCountFrequency (%) 
2.1419633324< 0.1%
 
2.09985614310< 0.1%
 
2.0592293797< 0.1%
 
2.0467385333< 0.1%
 
2.0423161246< 0.1%
 

wtd_entropy_Valence
Real number (ℝ≥0)

ZEROS

Distinct count10778
Unique (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0528414938856556
Minimum0.0
Maximum1.94973862250667
Zeros285
Zeros (%)1.3%
Memory size166.1 KiB
2021-08-25T17:34:09.161314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3294118572
Q10.7756779868
median1.16653236
Q31.330801249
95-th percentile1.531980029
Maximum1.949738623
Range1.949738623
Interquartile range (IQR)0.5551232625

Descriptive statistics

Standard deviation0.3802905647
Coefficient of variation (CV)0.3612040054
Kurtosis0.05541253786
Mean1.052841494
Median Absolute Deviation (MAD)0.2154462966
Skewness-0.729389923
Sum22386.56868
Variance0.1446209136
2021-08-25T17:34:09.253069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02851.3%
 
1.2018230242531.2%
 
0.56233514462161.0%
 
0.63651416831470.7%
 
1.3095258351130.5%
 
0.50040242351090.5%
 
0.673011667950.4%
 
0.5146531654900.4%
 
0.6869615766890.4%
 
0.6057974994880.4%
 
Other values (10768)1977893.0%
 
ValueCountFrequency (%) 
02851.3%
 
0.00044508064731< 0.1%
 
0.00059447791411< 0.1%
 
0.00070773951211< 0.1%
 
0.00098423488321< 0.1%
 
ValueCountFrequency (%) 
1.9497386231< 0.1%
 
1.9350297421< 0.1%
 
1.9273446931< 0.1%
 
1.9273263351< 0.1%
 
1.9249872981< 0.1%
 

range_Valence
Real number (ℝ≥0)

ZEROS

Distinct count7
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.041010205521328
Minimum0
Maximum6
Zeros1398
Zeros (%)6.6%
Memory size166.1 KiB
2021-08-25T17:34:09.348819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.242345373
Coefficient of variation (CV)0.6086914065
Kurtosis-0.5396390947
Mean2.041010206
Median Absolute Deviation (MAD)1
Skewness0.4693979022
Sum43398
Variance1.543422025
2021-08-25T17:34:09.438576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1738734.7%
 
2513124.1%
 
3433520.4%
 
4232110.9%
 
013986.6%
 
56863.2%
 
65< 0.1%
 
ValueCountFrequency (%) 
013986.6%
 
1738734.7%
 
2513124.1%
 
3433520.4%
 
4232110.9%
 
ValueCountFrequency (%) 
65< 0.1%
 
56863.2%
 
4232110.9%
 
3433520.4%
 
2513124.1%
 

wtd_range_Valence
Real number (ℝ≥0)

ZEROS

Distinct count5908
Unique (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4830072246436976
Minimum0.0
Maximum6.9922
Zeros377
Zeros (%)1.8%
Memory size166.1 KiB
2021-08-25T17:34:09.543294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q10.9214542229
median1.063076923
Q31.9184
95-th percentile3.6
Maximum6.9922
Range6.9922
Interquartile range (IQR)0.9969457771

Descriptive statistics

Standard deviation0.9781764308
Coefficient of variation (CV)0.6595897947
Kurtosis2.445093346
Mean1.483007225
Median Absolute Deviation (MAD)0.2505769231
Skewness1.547605067
Sum31533.18262
Variance0.9568291298
2021-08-25T17:34:09.645986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14912.3%
 
03771.8%
 
0.52991.4%
 
0.84615384622591.2%
 
0.82071.0%
 
32000.9%
 
1.11820.9%
 
21770.8%
 
0.57142857141750.8%
 
1.51660.8%
 
Other values (5898)1873088.1%
 
ValueCountFrequency (%) 
03771.8%
 
2.220446049e-162< 0.1%
 
4.440892099e-162< 0.1%
 
0.02453987731< 0.1%
 
0.0251< 0.1%
 
ValueCountFrequency (%) 
6.99221< 0.1%
 
6.99091< 0.1%
 
6.9872< 0.1%
 
6.9741< 0.1%
 
6.9222< 0.1%
 

std_Valence
Real number (ℝ≥0)

ZEROS

Distinct count125
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8393423829019059
Minimum0.0
Maximum3.0
Zeros1398
Zeros (%)6.6%
Memory size166.1 KiB
2021-08-25T17:34:09.739736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4517539515
median0.8
Q31.2
95-th percentile1.699673171
Maximum3
Range3
Interquartile range (IQR)0.7482460485

Descriptive statistics

Standard deviation0.4846762775
Coefficient of variation (CV)0.5774476392
Kurtosis-0.2911585115
Mean0.8393423829
Median Absolute Deviation (MAD)0.3669872981
Skewness0.4448295965
Sum17846.93709
Variance0.234911094
2021-08-25T17:34:09.845453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.433012701919399.1%
 
0.416177.6%
 
0.514066.6%
 
013986.6%
 
0.471404520811785.5%
 
110024.7%
 
0.89404.4%
 
0.48989794868594.0%
 
0.81649658098454.0%
 
1.2472191297423.5%
 
Other values (115)933743.9%
 
ValueCountFrequency (%) 
013986.6%
 
0.3499271061260.1%
 
0.37267799622761.3%
 
0.416177.6%
 
0.433012701919399.1%
 
ValueCountFrequency (%) 
32< 0.1%
 
2.6246692911< 0.1%
 
2.5130.1%
 
2.357022604280.1%
 
2.1650635092< 0.1%
 

wtd_std_Valence
Real number (ℝ≥0)

ZEROS

Distinct count7082
Unique (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6739867746255926
Minimum0.0
Maximum3.0
Zeros1267
Zeros (%)6.0%
Memory size166.1 KiB
2021-08-25T17:34:09.936244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.306892205
median0.5
Q31.020435637
95-th percentile1.490711985
Maximum3
Range3
Interquartile range (IQR)0.7135434318

Descriptive statistics

Standard deviation0.4555803278
Coefficient of variation (CV)0.6759484681
Kurtosis-0.3333925402
Mean0.6739867746
Median Absolute Deviation (MAD)0.246936999
Skewness0.657963849
Sum14330.98079
Variance0.2075534351
2021-08-25T17:34:10.036942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
012676.0%
 
0.2664693555972.8%
 
0.43301270194172.0%
 
0.47140452082771.3%
 
0.34992710612661.3%
 
0.68718427092451.2%
 
0.44095212382091.0%
 
0.52051.0%
 
0.24944382582041.0%
 
1.2990381061550.7%
 
Other values (7072)1742181.9%
 
ValueCountFrequency (%) 
012676.0%
 
2.220446049e-16370.2%
 
4.440892099e-16590.3%
 
8.881784197e-16350.2%
 
0.014141782071< 0.1%
 
ValueCountFrequency (%) 
31< 0.1%
 
2.8284271251< 0.1%
 
2.3570226042< 0.1%
 
2.2669117518< 0.1%
 
2.2125902371< 0.1%
 

H
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count116
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01768456943987208
Minimum0.0
Maximum14.0
Zeros20964
Zeros (%)98.6%
Memory size166.1 KiB
2021-08-25T17:34:10.136709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2672198489
Coefficient of variation (CV)15.11033954
Kurtosis1467.61799
Mean0.01768456944
Median Absolute Deviation (MAD)0
Skewness33.00091865
Sum376.027
Variance0.07140644763
2021-08-25T17:34:10.229429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02096498.6%
 
2.6450.2%
 
1420.2%
 
0.1120.1%
 
0.47< 0.1%
 
0.27< 0.1%
 
0.66< 0.1%
 
0.086< 0.1%
 
0.35< 0.1%
 
0.245< 0.1%
 
Other values (106)1640.8%
 
ValueCountFrequency (%) 
02096498.6%
 
0.0051< 0.1%
 
0.031< 0.1%
 
0.0331< 0.1%
 
0.041< 0.1%
 
ValueCountFrequency (%) 
143< 0.1%
 
121< 0.1%
 
102< 0.1%
 
51< 0.1%
 
42< 0.1%
 

He
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Li
Real number (ℝ≥0)

ZEROS

Distinct count68
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01212477072849551
Minimum0.0
Maximum3.0
Zeros20952
Zeros (%)98.5%
Memory size166.1 KiB
2021-08-25T17:34:10.321216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.129551576
Coefficient of variation (CV)10.68486811
Kurtosis187.3316124
Mean0.01212477073
Median Absolute Deviation (MAD)0
Skewness12.96966196
Sum257.809
Variance0.01678361085
2021-08-25T17:34:10.455822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02095298.5%
 
1740.3%
 
2490.2%
 
0.8150.1%
 
0.1140.1%
 
0.25120.1%
 
0.0210< 0.1%
 
0.0510< 0.1%
 
0.068< 0.1%
 
0.28< 0.1%
 
Other values (58)1110.5%
 
ValueCountFrequency (%) 
02095298.5%
 
0.012< 0.1%
 
0.0161< 0.1%
 
0.0210< 0.1%
 
0.0252< 0.1%
 
ValueCountFrequency (%) 
31< 0.1%
 
2.63< 0.1%
 
2.51< 0.1%
 
2490.2%
 
1.71< 0.1%
 

Be
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count44
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03463791562808635
Minimum0.0
Maximum40.0
Zeros21167
Zeros (%)99.5%
Memory size166.1 KiB
2021-08-25T17:34:10.556553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8485409297
Coefficient of variation (CV)24.49745934
Kurtosis940.1931014
Mean0.03463791563
Median Absolute Deviation (MAD)0
Skewness29.38540482
Sum736.506
Variance0.7200217094
2021-08-25T17:34:10.657283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02116799.5%
 
22150.1%
 
1120.1%
 
29< 0.1%
 
54< 0.1%
 
133< 0.1%
 
0.93< 0.1%
 
0.33< 0.1%
 
0.952< 0.1%
 
0.052< 0.1%
 
Other values (34)430.2%
 
ValueCountFrequency (%) 
02116799.5%
 
0.011< 0.1%
 
0.052< 0.1%
 
0.11< 0.1%
 
0.22< 0.1%
 
ValueCountFrequency (%) 
401< 0.1%
 
351< 0.1%
 
301< 0.1%
 
27.52< 0.1%
 
22.52< 0.1%
 

B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count99
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14259448807788175
Minimum0.0
Maximum105.0
Zeros20058
Zeros (%)94.3%
Memory size166.1 KiB
2021-08-25T17:34:10.786971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum105
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.044486089
Coefficient of variation (CV)7.32487001
Kurtosis4821.738723
Mean0.1425944881
Median Absolute Deviation (MAD)0
Skewness51.6367086
Sum3031.9866
Variance1.090951191
2021-08-25T17:34:10.880720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02005894.3%
 
26643.1%
 
41170.6%
 
11110.5%
 
12240.1%
 
6210.1%
 
0.5190.1%
 
5190.1%
 
3160.1%
 
2.4150.1%
 
Other values (89)1990.9%
 
ValueCountFrequency (%) 
02005894.3%
 
0.011< 0.1%
 
0.0151< 0.1%
 
0.032< 0.1%
 
0.0391< 0.1%
 
ValueCountFrequency (%) 
1051< 0.1%
 
17.11< 0.1%
 
16.71< 0.1%
 
167< 0.1%
 
12240.1%
 

C
Real number (ℝ≥0)

ZEROS

Distinct count140
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38496780322626156
Minimum0.0
Maximum120.0
Zeros19989
Zeros (%)94.0%
Memory size166.1 KiB
2021-08-25T17:34:10.976463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.6
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.408032318
Coefficient of variation (CV)11.45039217
Kurtosis203.5315565
Mean0.3849678032
Median Absolute Deviation (MAD)0
Skewness13.99651199
Sum8185.5704
Variance19.43074892
2021-08-25T17:34:11.077161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01998994.0%
 
16423.0%
 
601040.5%
 
2710.3%
 
0.5300.1%
 
0.3230.1%
 
0.4220.1%
 
0.2220.1%
 
6190.1%
 
3180.1%
 
Other values (130)3231.5%
 
ValueCountFrequency (%) 
01998994.0%
 
0.0021< 0.1%
 
0.00941< 0.1%
 
0.011< 0.1%
 
0.0171< 0.1%
 
ValueCountFrequency (%) 
1201< 0.1%
 
97.21< 0.1%
 
701< 0.1%
 
612< 0.1%
 
601040.5%
 

N
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count74
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013284155575412689
Minimum0.0
Maximum12.8
Zeros20957
Zeros (%)98.6%
Memory size166.1 KiB
2021-08-25T17:34:11.176895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12.8
Range12.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1504268196
Coefficient of variation (CV)11.32377732
Kurtosis2594.801937
Mean0.01328415558
Median Absolute Deviation (MAD)0
Skewness36.57391396
Sum282.461
Variance0.02262822807
2021-08-25T17:34:11.270644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02095798.6%
 
11510.7%
 
0.310< 0.1%
 
0.17< 0.1%
 
0.925< 0.1%
 
0.55< 0.1%
 
0.85< 0.1%
 
0.755< 0.1%
 
0.945< 0.1%
 
0.95< 0.1%
 
Other values (64)1080.5%
 
ValueCountFrequency (%) 
02095798.6%
 
0.0031< 0.1%
 
0.011< 0.1%
 
0.023< 0.1%
 
0.031< 0.1%
 
ValueCountFrequency (%) 
12.81< 0.1%
 
51< 0.1%
 
41< 0.1%
 
34< 0.1%
 
2.73< 0.1%
 

O
Real number (ℝ≥0)

ZEROS

Distinct count1040
Unique (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0091290363542305
Minimum0.0
Maximum66.0
Zeros9299
Zeros (%)43.7%
Memory size166.1 KiB
2021-08-25T17:34:11.363396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.8
95-th percentile8
Maximum66
Range66
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation3.811648715
Coefficient of variation (CV)1.266695004
Kurtosis16.34595331
Mean3.009129036
Median Absolute Deviation (MAD)1
Skewness2.259749226
Sum63983.1107
Variance14.52866593
2021-08-25T17:34:11.456161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0929943.7%
 
1214710.1%
 
416327.7%
 
716187.6%
 
811695.5%
 
63811.8%
 
32881.4%
 
102451.2%
 
21430.7%
 
6.951210.6%
 
Other values (1030)422019.8%
 
ValueCountFrequency (%) 
0929943.7%
 
0.0021< 0.1%
 
0.023< 0.1%
 
0.0241< 0.1%
 
0.031< 0.1%
 
ValueCountFrequency (%) 
661< 0.1%
 
531< 0.1%
 
51.71< 0.1%
 
501< 0.1%
 
41.841< 0.1%
 

F
Real number (ℝ≥0)

ZEROS

Distinct count74
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01487423223439778
Minimum0.0
Maximum4.0
Zeros20594
Zeros (%)96.9%
Memory size166.1 KiB
2021-08-25T17:34:11.552890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1321188624
Coefficient of variation (CV)8.882398789
Kurtosis305.6341376
Mean0.01487423223
Median Absolute Deviation (MAD)0
Skewness15.01725609
Sum316.2708
Variance0.0174553938
2021-08-25T17:34:11.645642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02059496.9%
 
0.5890.4%
 
0.1840.4%
 
0.11730.3%
 
1610.3%
 
0.05380.2%
 
0.3380.2%
 
0.2350.2%
 
0.15320.2%
 
0.12230.1%
 
Other values (64)1960.9%
 
ValueCountFrequency (%) 
02059496.9%
 
0.0161< 0.1%
 
0.031< 0.1%
 
0.0331< 0.1%
 
0.041< 0.1%
 
ValueCountFrequency (%) 
44< 0.1%
 
3.81< 0.1%
 
3.21< 0.1%
 
31< 0.1%
 
2.331< 0.1%
 

Ne
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Na
Real number (ℝ≥0)

ZEROS

Distinct count67
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008891760334853971
Minimum0.0
Maximum4.0
Zeros20941
Zeros (%)98.5%
Memory size166.1 KiB
2021-08-25T17:34:12.013658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1016854812
Coefficient of variation (CV)11.4359224
Kurtosis411.8789863
Mean0.008891760335
Median Absolute Deviation (MAD)0
Skewness17.69432609
Sum189.0655
Variance0.01033993708
2021-08-25T17:34:12.110433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02094198.5%
 
1580.3%
 
0.3280.1%
 
2200.1%
 
0.2200.1%
 
0.1170.1%
 
0.35120.1%
 
0.15120.1%
 
0.5120.1%
 
0.75120.1%
 
Other values (57)1310.6%
 
ValueCountFrequency (%) 
02094198.5%
 
0.0052< 0.1%
 
0.011< 0.1%
 
0.01251< 0.1%
 
0.021< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
3.51< 0.1%
 
31< 0.1%
 
2.91< 0.1%
 
2200.1%
 

Mg
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count81
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.026771810186709308
Minimum0.0
Maximum12.0
Zeros20741
Zeros (%)97.5%
Memory size166.1 KiB
2021-08-25T17:34:12.221107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2716063434
Coefficient of variation (CV)10.14523641
Kurtosis1070.612823
Mean0.02677181019
Median Absolute Deviation (MAD)0
Skewness28.25969877
Sum569.249
Variance0.07377000578
2021-08-25T17:34:12.314853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02074197.5%
 
12311.1%
 
0.9270.1%
 
0.8260.1%
 
0.7140.1%
 
0.99130.1%
 
0.95130.1%
 
0.6120.1%
 
2110.1%
 
0.9810< 0.1%
 
Other values (71)1650.8%
 
ValueCountFrequency (%) 
02074197.5%
 
0.012< 0.1%
 
0.023< 0.1%
 
0.034< 0.1%
 
0.0341< 0.1%
 
ValueCountFrequency (%) 
123< 0.1%
 
10.51< 0.1%
 
104< 0.1%
 
9.31< 0.1%
 
71< 0.1%
 

Al
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count189
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.061677909984480084
Minimum0.0
Maximum99.925
Zeros20532
Zeros (%)96.6%
Memory size166.1 KiB
2021-08-25T17:34:12.421602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99.925
Range99.925
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.126253938
Coefficient of variation (CV)18.26024809
Kurtosis3323.445953
Mean0.06167790998
Median Absolute Deviation (MAD)0
Skewness47.38740984
Sum1311.4574
Variance1.268447933
2021-08-25T17:34:12.520339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02053296.6%
 
11440.7%
 
2430.2%
 
0.1400.2%
 
0.2360.2%
 
0.05190.1%
 
0.3180.1%
 
0.9180.1%
 
0.5160.1%
 
0.25150.1%
 
Other values (179)3821.8%
 
ValueCountFrequency (%) 
02053296.6%
 
0.0041< 0.1%
 
0.0051< 0.1%
 
0.0061< 0.1%
 
0.0081< 0.1%
 
ValueCountFrequency (%) 
99.9251< 0.1%
 
433< 0.1%
 
281< 0.1%
 
251< 0.1%
 
20.32< 0.1%
 

Si
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count137
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18988945586229602
Minimum0.0
Maximum100.0
Zeros20538
Zeros (%)96.6%
Memory size166.1 KiB
2021-08-25T17:34:12.611063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.217276827
Coefficient of variation (CV)11.67667165
Kurtosis627.8933681
Mean0.1898894559
Median Absolute Deviation (MAD)0
Skewness21.6853647
Sum4037.6195
Variance4.916316526
2021-08-25T17:34:12.704845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02053896.6%
 
11870.9%
 
2910.4%
 
10650.3%
 
5560.3%
 
3380.2%
 
46200.1%
 
0.25110.1%
 
1510< 0.1%
 
0.88< 0.1%
 
Other values (127)2391.1%
 
ValueCountFrequency (%) 
02053896.6%
 
0.0052< 0.1%
 
0.011< 0.1%
 
0.0141< 0.1%
 
0.0152< 0.1%
 
ValueCountFrequency (%) 
1002< 0.1%
 
46200.1%
 
441< 0.1%
 
432< 0.1%
 
421< 0.1%
 

P
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count62
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028143112448854816
Minimum0.0
Maximum20.0
Zeros20908
Zeros (%)98.3%
Memory size166.1 KiB
2021-08-25T17:34:12.805067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4667101982
Coefficient of variation (CV)16.58346066
Kurtosis996.0284083
Mean0.02814311245
Median Absolute Deviation (MAD)0
Skewness29.51067525
Sum598.407
Variance0.2178184091
2021-08-25T17:34:12.918761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02090898.3%
 
11200.6%
 
2220.1%
 
0.5210.1%
 
0.6180.1%
 
12170.1%
 
0.2150.1%
 
0.4140.1%
 
0.3130.1%
 
0.88< 0.1%
 
Other values (52)1070.5%
 
ValueCountFrequency (%) 
02090898.3%
 
0.013< 0.1%
 
0.0281< 0.1%
 
0.031< 0.1%
 
0.054< 0.1%
 
ValueCountFrequency (%) 
204< 0.1%
 
12170.1%
 
102< 0.1%
 
51< 0.1%
 
42< 0.1%
 

S
Real number (ℝ≥0)

ZEROS

Distinct count72
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10624629638338898
Minimum0.0
Maximum15.0
Zeros20569
Zeros (%)96.7%
Memory size166.1 KiB
2021-08-25T17:34:13.040437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7608212138
Coefficient of variation (CV)7.16091986
Kurtosis103.2563962
Mean0.1062462964
Median Absolute Deviation (MAD)0
Skewness9.361337119
Sum2259.115
Variance0.5788489194
2021-08-25T17:34:13.151680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02056996.7%
 
22341.1%
 
81010.5%
 
4700.3%
 
1450.2%
 
3350.2%
 
6230.1%
 
5170.1%
 
0.2130.1%
 
0.5120.1%
 
Other values (62)1440.7%
 
ValueCountFrequency (%) 
02056996.7%
 
0.0011< 0.1%
 
0.011< 0.1%
 
0.022< 0.1%
 
0.033< 0.1%
 
ValueCountFrequency (%) 
155< 0.1%
 
111< 0.1%
 
81010.5%
 
7.91< 0.1%
 
7.55< 0.1%
 

Cl
Real number (ℝ≥0)

ZEROS

Distinct count32
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009050416215961999
Minimum0.0
Maximum3.0
Zeros21117
Zeros (%)99.3%
Memory size166.1 KiB
2021-08-25T17:34:13.272514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.119717286
Coefficient of variation (CV)13.22782104
Kurtosis244.1482597
Mean0.009050416216
Median Absolute Deviation (MAD)0
Skewness14.98210895
Sum192.439
Variance0.01433222857
2021-08-25T17:34:13.393191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02111799.3%
 
1680.3%
 
2380.2%
 
0.74< 0.1%
 
0.53< 0.1%
 
0.753< 0.1%
 
0.252< 0.1%
 
32< 0.1%
 
1.52< 0.1%
 
0.5252< 0.1%
 
Other values (22)220.1%
 
ValueCountFrequency (%) 
02111799.3%
 
0.051< 0.1%
 
0.11< 0.1%
 
0.181< 0.1%
 
0.21< 0.1%
 
ValueCountFrequency (%) 
32< 0.1%
 
2.51< 0.1%
 
2.41< 0.1%
 
2.31< 0.1%
 
2.251< 0.1%
 

Ar
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

K
Real number (ℝ≥0)

ZEROS

Distinct count105
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01604246813713963
Minimum0.0
Maximum3.3
Zeros20733
Zeros (%)97.5%
Memory size166.1 KiB
2021-08-25T17:34:13.515863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3.3
Range3.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1381870587
Coefficient of variation (CV)8.613827841
Kurtosis258.2264636
Mean0.01604246814
Median Absolute Deviation (MAD)0
Skewness14.19729063
Sum341.111
Variance0.01909566319
2021-08-25T17:34:13.636542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02073397.5%
 
1660.3%
 
0.4600.3%
 
0.5490.2%
 
0.8340.2%
 
0.2210.1%
 
0.3190.1%
 
3180.1%
 
0.1170.1%
 
0.6160.1%
 
Other values (95)2301.1%
 
ValueCountFrequency (%) 
02073397.5%
 
0.021< 0.1%
 
0.041< 0.1%
 
0.0510< 0.1%
 
0.0651< 0.1%
 
ValueCountFrequency (%) 
3.31< 0.1%
 
3180.1%
 
2.92< 0.1%
 
2.751< 0.1%
 
2120.1%
 

Ca
Real number (ℝ≥0)

ZEROS

Distinct count265
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2583465456426656
Minimum0.0
Maximum24.0
Zeros17151
Zeros (%)80.7%
Memory size166.1 KiB
2021-08-25T17:34:13.760211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.95
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9027318773
Coefficient of variation (CV)3.494267264
Kurtosis90.55484895
Mean0.2583465456
Median Absolute Deviation (MAD)0
Skewness7.740307623
Sum5493.2226
Variance0.8149248423
2021-08-25T17:34:13.858946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01715180.7%
 
19674.5%
 
25772.7%
 
0.21950.9%
 
31830.9%
 
0.51790.8%
 
0.11710.8%
 
0.81360.6%
 
0.41310.6%
 
0.31200.6%
 
Other values (255)14536.8%
 
ValueCountFrequency (%) 
01715180.7%
 
0.00223< 0.1%
 
0.017< 0.1%
 
0.0131< 0.1%
 
0.0151< 0.1%
 
ValueCountFrequency (%) 
241< 0.1%
 
151< 0.1%
 
142< 0.1%
 
13.62< 0.1%
 
132< 0.1%
 

Sc
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count40
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010918826129897004
Minimum0.0
Maximum5.0
Zeros21114
Zeros (%)99.3%
Memory size166.1 KiB
2021-08-25T17:34:13.979625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1856505933
Coefficient of variation (CV)17.00279783
Kurtosis512.9282187
Mean0.01091882613
Median Absolute Deviation (MAD)0
Skewness21.65106127
Sum232.167
Variance0.03446614278
2021-08-25T17:34:14.080354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02111499.3%
 
1400.2%
 
2140.1%
 
5130.1%
 
4110.1%
 
0.19< 0.1%
 
0.56< 0.1%
 
0.056< 0.1%
 
0.26< 0.1%
 
1.53< 0.1%
 
Other values (30)410.2%
 
ValueCountFrequency (%) 
02111499.3%
 
0.012< 0.1%
 
0.0121< 0.1%
 
0.021< 0.1%
 
0.0251< 0.1%
 
ValueCountFrequency (%) 
5130.1%
 
4.752< 0.1%
 
4.51< 0.1%
 
4110.1%
 
3.52< 0.1%
 

Ti
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count161
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15681701312138457
Minimum0.0
Maximum75.0
Zeros20674
Zeros (%)97.2%
Memory size166.1 KiB
2021-08-25T17:34:14.176131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.728138681
Coefficient of variation (CV)17.39695602
Kurtosis508.8346945
Mean0.1568170131
Median Absolute Deviation (MAD)0
Skewness22.01512368
Sum3334.40015
Variance7.442740662
2021-08-25T17:34:14.283851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02067497.2%
 
11030.5%
 
2620.3%
 
0.91200.1%
 
0.2200.1%
 
0.3150.1%
 
3140.1%
 
0.1130.1%
 
0.5120.1%
 
0.6410< 0.1%
 
Other values (151)3201.5%
 
ValueCountFrequency (%) 
02067497.2%
 
0.00051< 0.1%
 
0.0011< 0.1%
 
0.001251< 0.1%
 
0.013< 0.1%
 
ValueCountFrequency (%) 
755< 0.1%
 
743< 0.1%
 
705< 0.1%
 
654< 0.1%
 
601< 0.1%
 

V
Real number (ℝ≥0)

ZEROS

Distinct count215
Unique (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2247824201664864
Minimum0.0
Maximum79.5
Zeros20465
Zeros (%)96.2%
Memory size166.1 KiB
2021-08-25T17:34:14.379591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum79.5
Range79.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.407763274
Coefficient of variation (CV)15.16027486
Kurtosis384.0843793
Mean0.2247824202
Median Absolute Deviation (MAD)0
Skewness19.3020213
Sum4779.5486
Variance11.61285053
2021-08-25T17:34:14.483279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02046596.2%
 
31130.5%
 
2740.3%
 
0.5380.2%
 
1370.2%
 
0.75330.2%
 
0.3320.2%
 
0.2280.1%
 
0.4270.1%
 
50150.1%
 
Other values (205)4011.9%
 
ValueCountFrequency (%) 
02046596.2%
 
0.0031< 0.1%
 
0.0051< 0.1%
 
0.014< 0.1%
 
0.01251< 0.1%
 
ValueCountFrequency (%) 
79.51< 0.1%
 
77.81< 0.1%
 
76.41< 0.1%
 
75.21< 0.1%
 
75.151< 0.1%
 

Cr
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count64
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006118960165545783
Minimum0.0
Maximum34.9
Zeros21068
Zeros (%)99.1%
Memory size166.1 KiB
2021-08-25T17:34:14.623903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum34.9
Range34.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2542715236
Coefficient of variation (CV)41.55469504
Kurtosis16698.10169
Mean0.006118960166
Median Absolute Deviation (MAD)0
Skewness122.799593
Sum130.10745
Variance0.06465400773
2021-08-25T17:34:14.764527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02106899.1%
 
0.3330.2%
 
0.2150.1%
 
0.1130.1%
 
310< 0.1%
 
0.019< 0.1%
 
0.158< 0.1%
 
0.58< 0.1%
 
18< 0.1%
 
0.055< 0.1%
 
Other values (54)860.4%
 
ValueCountFrequency (%) 
02106899.1%
 
0.00181< 0.1%
 
0.002551< 0.1%
 
0.00331< 0.1%
 
0.0041< 0.1%
 
ValueCountFrequency (%) 
34.91< 0.1%
 
4.841< 0.1%
 
310< 0.1%
 
2.51< 0.1%
 
22< 0.1%
 

Mn
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count55
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003191235949771904
Minimum0.0
Maximum14.0
Zeros21092
Zeros (%)99.2%
Memory size166.1 KiB
2021-08-25T17:34:14.871241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1294486605
Coefficient of variation (CV)40.56380115
Kurtosis6974.532277
Mean0.00319123595
Median Absolute Deviation (MAD)0
Skewness74.33630163
Sum67.85525
Variance0.0167569557
2021-08-25T17:34:14.963030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02109299.2%
 
0.03170.1%
 
0.02150.1%
 
0.06120.1%
 
0.01120.1%
 
0.005110.1%
 
0.28< 0.1%
 
0.047< 0.1%
 
0.36< 0.1%
 
0.16< 0.1%
 
Other values (45)770.4%
 
ValueCountFrequency (%) 
02109299.2%
 
0.000253< 0.1%
 
0.000752< 0.1%
 
0.0014< 0.1%
 
0.0021< 0.1%
 
ValueCountFrequency (%) 
141< 0.1%
 
61< 0.1%
 
51< 0.1%
 
4.921< 0.1%
 
42< 0.1%
 

Fe
Real number (ℝ≥0)

ZEROS

Distinct count303
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15318162300710156
Minimum0.0
Maximum30.0
Zeros18924
Zeros (%)89.0%
Memory size166.1 KiB
2021-08-25T17:34:15.056779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7130748256
Coefficient of variation (CV)4.655093813
Kurtosis244.2528287
Mean0.153181623
Median Absolute Deviation (MAD)0
Skewness11.72155751
Sum3257.10085
Variance0.5084757068
2021-08-25T17:34:15.153526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01892489.0%
 
16363.0%
 
23381.6%
 
0.5410.2%
 
0.9400.2%
 
3400.2%
 
10370.2%
 
0.06350.2%
 
0.1340.2%
 
0.3310.1%
 
Other values (293)11075.2%
 
ValueCountFrequency (%) 
01892489.0%
 
0.0012< 0.1%
 
0.0021< 0.1%
 
0.0034< 0.1%
 
0.0041< 0.1%
 
ValueCountFrequency (%) 
301< 0.1%
 
10370.2%
 
9.921< 0.1%
 
9.91< 0.1%
 
9.81< 0.1%
 

Co
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count178
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03532265437614636
Minimum0.0
Maximum35.38
Zeros20228
Zeros (%)95.1%
Memory size166.1 KiB
2021-08-25T17:34:15.242322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35.38
Range35.38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.580671515
Coefficient of variation (CV)16.43906794
Kurtosis2278.392302
Mean0.03532265438
Median Absolute Deviation (MAD)0
Skewness44.06969175
Sum751.0656
Variance0.3371794084
2021-08-25T17:34:15.337034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02022895.1%
 
11420.7%
 
0.1490.2%
 
0.05460.2%
 
0.2420.2%
 
0.15400.2%
 
0.3310.1%
 
0.12300.1%
 
0.04280.1%
 
0.08270.1%
 
Other values (168)6002.8%
 
ValueCountFrequency (%) 
02022895.1%
 
0.0011< 0.1%
 
0.0024< 0.1%
 
0.00251< 0.1%
 
0.0046< 0.1%
 
ValueCountFrequency (%) 
35.381< 0.1%
 
351< 0.1%
 
301< 0.1%
 
281< 0.1%
 
252< 0.1%
 

Ni
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count177
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09018177115176598
Minimum0.0
Maximum45.0
Zeros20114
Zeros (%)94.6%
Memory size166.1 KiB
2021-08-25T17:34:15.429819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9825205465
Coefficient of variation (CV)10.89489077
Kurtosis831.7820533
Mean0.09018177115
Median Absolute Deviation (MAD)0
Skewness26.13474182
Sum1917.535
Variance0.9653466244
2021-08-25T17:34:15.513595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02011494.6%
 
22821.3%
 
1720.3%
 
3520.2%
 
0.1440.2%
 
0.02390.2%
 
0.06360.2%
 
0.01340.2%
 
0.04300.1%
 
0.03260.1%
 
Other values (167)5342.5%
 
ValueCountFrequency (%) 
02011494.6%
 
0.0012< 0.1%
 
0.0022< 0.1%
 
0.0033< 0.1%
 
0.0042< 0.1%
 
ValueCountFrequency (%) 
451< 0.1%
 
401< 0.1%
 
36.51< 0.1%
 
331< 0.1%
 
311< 0.1%
 

Cu
Real number (ℝ≥0)

ZEROS

Distinct count386
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2767505808211448
Minimum0.0
Maximum98.0
Zeros10425
Zeros (%)49.0%
Memory size166.1 KiB
2021-08-25T17:34:15.612299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.9
Q32.815
95-th percentile3.1
Maximum98
Range98
Interquartile range (IQR)2.815

Descriptive statistics

Standard deviation2.079375471
Coefficient of variation (CV)1.628646583
Kurtosis400.0333515
Mean1.276750581
Median Absolute Deviation (MAD)0.9
Skewness12.96816579
Sum27147.5476
Variance4.323802349
2021-08-25T17:34:15.723544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01042549.0%
 
3334615.7%
 
120599.7%
 
216797.9%
 
44232.0%
 
2.851530.7%
 
2.71360.6%
 
2.81270.6%
 
2.91250.6%
 
71230.6%
 
Other values (376)266712.5%
 
ValueCountFrequency (%) 
01042549.0%
 
0.0041< 0.1%
 
0.0051< 0.1%
 
0.0091< 0.1%
 
0.016< 0.1%
 
ValueCountFrequency (%) 
981< 0.1%
 
701< 0.1%
 
601< 0.1%
 
504< 0.1%
 
404< 0.1%
 

Zn
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count114
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014034068569816111
Minimum0.0
Maximum20.0
Zeros20431
Zeros (%)96.1%
Memory size166.1 KiB
2021-08-25T17:34:15.816263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4033164134
Coefficient of variation (CV)28.73838127
Kurtosis2293.841031
Mean0.01403406857
Median Absolute Deviation (MAD)0
Skewness46.96331787
Sum298.4064
Variance0.1626641293
2021-08-25T17:34:15.919985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02043196.1%
 
0.06690.3%
 
0.02620.3%
 
0.01610.3%
 
0.03540.3%
 
0.05470.2%
 
0.1470.2%
 
0.04370.2%
 
0.15320.2%
 
0.2310.1%
 
Other values (104)3921.8%
 
ValueCountFrequency (%) 
02043196.1%
 
0.0011< 0.1%
 
0.0021< 0.1%
 
0.00258< 0.1%
 
0.0047< 0.1%
 
ValueCountFrequency (%) 
208< 0.1%
 
111< 0.1%
 
3.51< 0.1%
 
35< 0.1%
 
2.55< 0.1%
 

Ga
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count156
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0739970371067112
Minimum0.0
Maximum41.0
Zeros20658
Zeros (%)97.2%
Memory size166.1 KiB
2021-08-25T17:34:16.026733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.115005177
Coefficient of variation (CV)15.06824085
Kurtosis490.0135551
Mean0.07399703711
Median Absolute Deviation (MAD)0
Skewness20.91656571
Sum1573.399
Variance1.243236545
2021-08-25T17:34:16.105522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02065897.2%
 
11240.6%
 
0.2270.1%
 
0.1250.1%
 
0.3240.1%
 
0.15210.1%
 
0.5200.1%
 
2170.1%
 
0.05160.1%
 
0.8130.1%
 
Other values (146)3181.5%
 
ValueCountFrequency (%) 
02065897.2%
 
0.00051< 0.1%
 
0.0011< 0.1%
 
0.00251< 0.1%
 
0.0053< 0.1%
 
ValueCountFrequency (%) 
411< 0.1%
 
401< 0.1%
 
29.61< 0.1%
 
28.11< 0.1%
 
26.51< 0.1%
 

Ge
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count145
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08255633729953439
Minimum0.0
Maximum46.0
Zeros20743
Zeros (%)97.6%
Memory size166.1 KiB
2021-08-25T17:34:16.192292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.021278509
Coefficient of variation (CV)12.3706858
Kurtosis553.7764234
Mean0.0825563373
Median Absolute Deviation (MAD)0
Skewness20.15042971
Sum1755.3954
Variance1.043009794
2021-08-25T17:34:16.281020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02074397.6%
 
1640.3%
 
2620.3%
 
3330.2%
 
12290.1%
 
0.2210.1%
 
0.1200.1%
 
0.5160.1%
 
10140.1%
 
0.05140.1%
 
Other values (135)2471.2%
 
ValueCountFrequency (%) 
02074397.6%
 
0.0091< 0.1%
 
0.00951< 0.1%
 
0.027< 0.1%
 
0.0252< 0.1%
 
ValueCountFrequency (%) 
461< 0.1%
 
421< 0.1%
 
301< 0.1%
 
281< 0.1%
 
252< 0.1%
 

As
Real number (ℝ≥0)

ZEROS

Distinct count66
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15519691482857548
Minimum0.0
Maximum18.0
Zeros19761
Zeros (%)92.9%
Memory size166.1 KiB
2021-08-25T17:34:16.391763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.076048755
Coefficient of variation (CV)6.933441661
Kurtosis229.2508283
Mean0.1551969148
Median Absolute Deviation (MAD)0
Skewness14.30239979
Sum3299.952
Variance1.157880923
2021-08-25T17:34:16.488498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01976192.9%
 
16262.9%
 
26152.9%
 
18640.3%
 
0.8120.1%
 
4110.1%
 
0.610< 0.1%
 
0.910< 0.1%
 
310< 0.1%
 
0.59< 0.1%
 
Other values (56)1350.6%
 
ValueCountFrequency (%) 
01976192.9%
 
0.0052< 0.1%
 
0.0061< 0.1%
 
0.0071< 0.1%
 
0.0081< 0.1%
 
ValueCountFrequency (%) 
18640.3%
 
126< 0.1%
 
4110.1%
 
310< 0.1%
 
26152.9%
 

Se
Real number (ℝ≥0)

ZEROS

Distinct count111
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07866157174434463
Minimum0.0
Maximum19.0
Zeros20578
Zeros (%)96.8%
Memory size166.1 KiB
2021-08-25T17:34:16.587234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6762941077
Coefficient of variation (CV)8.597515822
Kurtosis313.6719948
Mean0.07866157174
Median Absolute Deviation (MAD)0
Skewness15.17387445
Sum1672.581
Variance0.4573737201
2021-08-25T17:34:16.678988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02057896.8%
 
22021.0%
 
1600.3%
 
8380.2%
 
4340.2%
 
3290.1%
 
0.3230.1%
 
0.5230.1%
 
0.4170.1%
 
0.85150.1%
 
Other values (101)2441.1%
 
ValueCountFrequency (%) 
02057896.8%
 
0.021< 0.1%
 
0.032< 0.1%
 
0.0331< 0.1%
 
0.0481< 0.1%
 
ValueCountFrequency (%) 
198< 0.1%
 
151< 0.1%
 
142< 0.1%
 
111< 0.1%
 
8380.2%
 

Br
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count23
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003939942623336312
Minimum0.0
Maximum5.0
Zeros21197
Zeros (%)99.7%
Memory size166.1 KiB
2021-08-25T17:34:16.779719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08390726566
Coefficient of variation (CV)21.29657045
Kurtosis1044.113794
Mean0.003939942623
Median Absolute Deviation (MAD)0
Skewness28.36631896
Sum83.775
Variance0.007040429231
2021-08-25T17:34:16.865491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02119799.7%
 
1190.1%
 
2160.1%
 
0.254< 0.1%
 
0.53< 0.1%
 
32< 0.1%
 
0.4752< 0.1%
 
0.752< 0.1%
 
1.752< 0.1%
 
1.252< 0.1%
 
Other values (13)140.1%
 
ValueCountFrequency (%) 
02119799.7%
 
0.181< 0.1%
 
0.21< 0.1%
 
0.254< 0.1%
 
0.31< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
32< 0.1%
 
2160.1%
 
1.752< 0.1%
 
1.61< 0.1%
 

Kr
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Rb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count39
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007799228707143865
Minimum0.0
Maximum4.0
Zeros21105
Zeros (%)99.3%
Memory size166.1 KiB
2021-08-25T17:34:16.955252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1212541783
Coefficient of variation (CV)15.54694482
Kurtosis469.6755699
Mean0.007799228707
Median Absolute Deviation (MAD)0
Skewness20.43551974
Sum165.835
Variance0.01470257576
2021-08-25T17:34:17.069946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02110599.3%
 
1370.2%
 
3190.1%
 
2130.1%
 
0.810< 0.1%
 
0.19< 0.1%
 
0.48< 0.1%
 
0.26< 0.1%
 
0.336< 0.1%
 
0.55< 0.1%
 
Other values (29)450.2%
 
ValueCountFrequency (%) 
02110599.3%
 
0.052< 0.1%
 
0.0551< 0.1%
 
0.19< 0.1%
 
0.141< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
3.11< 0.1%
 
3190.1%
 
2.71< 0.1%
 
2130.1%
 

Sr
Real number (ℝ≥0)

ZEROS

Distinct count228
Unique (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.326909391901425
Minimum0.0
Maximum16.7
Zeros16411
Zeros (%)77.2%
Memory size166.1 KiB
2021-08-25T17:34:17.169678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum16.7
Range16.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7636246964
Coefficient of variation (CV)2.335890969
Kurtosis28.438014
Mean0.3269093919
Median Absolute Deviation (MAD)0
Skewness3.414792667
Sum6951.0744
Variance0.5831226769
2021-08-25T17:34:17.263429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01641177.2%
 
220639.7%
 
13721.7%
 
0.152801.3%
 
0.21890.9%
 
0.41150.5%
 
1.81130.5%
 
1.61120.5%
 
4840.4%
 
0.5830.4%
 
Other values (218)14416.8%
 
ValueCountFrequency (%) 
01641177.2%
 
0.011< 0.1%
 
0.0142< 0.1%
 
0.0152< 0.1%
 
0.0162< 0.1%
 
ValueCountFrequency (%) 
16.71< 0.1%
 
15.91< 0.1%
 
112< 0.1%
 
86< 0.1%
 
71< 0.1%
 

Y
Real number (ℝ≥0)

ZEROS

Distinct count145
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17755637727507878
Minimum0.0
Maximum9.0
Zeros17188
Zeros (%)80.8%
Memory size166.1 KiB
2021-08-25T17:34:17.352197image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4299529854
Coefficient of variation (CV)2.421501227
Kurtosis43.80819382
Mean0.1775563773
Median Absolute Deviation (MAD)0
Skewness4.350799362
Sum3775.38125
Variance0.1848595697
2021-08-25T17:34:17.438959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01718880.8%
 
1230310.8%
 
0.82021.0%
 
0.91550.7%
 
0.51520.7%
 
21200.6%
 
0.71150.5%
 
0.61080.5%
 
0.2850.4%
 
0.4730.3%
 
Other values (135)7623.6%
 
ValueCountFrequency (%) 
01718880.8%
 
0.0011< 0.1%
 
0.0051< 0.1%
 
0.009251< 0.1%
 
0.012< 0.1%
 
ValueCountFrequency (%) 
92< 0.1%
 
81< 0.1%
 
71< 0.1%
 
64< 0.1%
 
510< 0.1%
 

Zr
Real number (ℝ≥0)

ZEROS

Distinct count161
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37090102525513796
Minimum0.0
Maximum96.71
Zeros20632
Zeros (%)97.0%
Memory size166.1 KiB
2021-08-25T17:34:17.522734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum96.71
Range96.71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.846458714
Coefficient of variation (CV)13.06671695
Kurtosis229.2474253
Mean0.3709010253
Median Absolute Deviation (MAD)0
Skewness14.87133438
Sum7886.4685
Variance23.48816206
2021-08-25T17:34:17.611496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02063297.0%
 
11760.8%
 
2640.3%
 
0.9190.1%
 
0.5160.1%
 
3130.1%
 
0.75120.1%
 
0.810< 0.1%
 
59< 0.1%
 
0.28< 0.1%
 
Other values (151)3041.4%
 
ValueCountFrequency (%) 
02063297.0%
 
0.00752< 0.1%
 
0.011< 0.1%
 
0.0131< 0.1%
 
0.022< 0.1%
 
ValueCountFrequency (%) 
96.711< 0.1%
 
96.051< 0.1%
 
94.781< 0.1%
 
93.141< 0.1%
 
921< 0.1%
 

Nb
Real number (ℝ≥0)

ZEROS

Distinct count239
Unique (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44234929219771435
Minimum0.0
Maximum99.976
Zeros19827
Zeros (%)93.2%
Memory size166.1 KiB
2021-08-25T17:34:17.703219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.7795
Maximum99.976
Range99.976
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.848245957
Coefficient of variation (CV)10.9602209
Kurtosis246.7158164
Mean0.4423492922
Median Absolute Deviation (MAD)0
Skewness15.30221218
Sum9405.673
Variance23.50548886
2021-08-25T17:34:17.786994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01982793.2%
 
33631.7%
 
12551.2%
 
0.75520.2%
 
0.8450.2%
 
0.5390.2%
 
2370.2%
 
0.9260.1%
 
80260.1%
 
0.6230.1%
 
Other values (229)5702.7%
 
ValueCountFrequency (%) 
01982793.2%
 
0.0031< 0.1%
 
0.0051< 0.1%
 
0.011< 0.1%
 
0.0161< 0.1%
 
ValueCountFrequency (%) 
99.9761< 0.1%
 
99.8611< 0.1%
 
99.4451< 0.1%
 
99.0781< 0.1%
 
98.681< 0.1%
 

Mo
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count163
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14636682970418097
Minimum0.0
Maximum99.992
Zeros20375
Zeros (%)95.8%
Memory size166.1 KiB
2021-08-25T17:34:17.881742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99.992
Range99.992
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.084302316
Coefficient of variation (CV)14.24026414
Kurtosis1689.960339
Mean0.1463668297
Median Absolute Deviation (MAD)0
Skewness37.95920237
Sum3112.1979
Variance4.344316144
2021-08-25T17:34:18.051289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02037595.8%
 
61680.8%
 
1860.4%
 
3580.3%
 
0.3480.2%
 
0.2430.2%
 
0.25400.2%
 
2270.1%
 
0.1270.1%
 
0.15260.1%
 
Other values (153)3651.7%
 
ValueCountFrequency (%) 
02037595.8%
 
0.00061< 0.1%
 
0.00071< 0.1%
 
0.0121< 0.1%
 
0.0131< 0.1%
 
ValueCountFrequency (%) 
99.9921< 0.1%
 
99.991< 0.1%
 
99.9891< 0.1%
 
99.9851< 0.1%
 
99.9681< 0.1%
 

Tc
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count27
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002291068993086582
Minimum0.0
Maximum6.0
Zeros21213
Zeros (%)99.8%
Memory size166.1 KiB
2021-08-25T17:34:18.336527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06472796979
Coefficient of variation (CV)28.25230056
Kurtosis3944.470266
Mean0.002291068993
Median Absolute Deviation (MAD)0
Skewness52.60212993
Sum48.715
Variance0.004189710073
2021-08-25T17:34:18.519038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02121399.8%
 
18< 0.1%
 
25< 0.1%
 
0.64< 0.1%
 
0.93< 0.1%
 
0.73< 0.1%
 
0.753< 0.1%
 
0.972< 0.1%
 
0.12< 0.1%
 
0.52< 0.1%
 
Other values (17)180.1%
 
ValueCountFrequency (%) 
02121399.8%
 
0.031< 0.1%
 
0.071< 0.1%
 
0.12< 0.1%
 
0.21< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
31< 0.1%
 
25< 0.1%
 
18< 0.1%
 
0.972< 0.1%
 

Ru
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count131
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.055324754267977234
Minimum0.0
Maximum64.0
Zeros20528
Zeros (%)96.5%
Memory size166.1 KiB
2021-08-25T17:34:18.665647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7703269376
Coefficient of variation (CV)13.92372994
Kurtosis3306.79972
Mean0.05532475427
Median Absolute Deviation (MAD)0
Skewness49.71483334
Sum1176.37025
Variance0.5934035907
2021-08-25T17:34:18.805275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02052896.5%
 
11980.9%
 
2890.4%
 
4330.2%
 
0.8250.1%
 
0.9230.1%
 
0.1210.1%
 
0.5210.1%
 
3190.1%
 
0.2190.1%
 
Other values (121)2871.3%
 
ValueCountFrequency (%) 
02052896.5%
 
0.0052< 0.1%
 
0.0110< 0.1%
 
0.01351< 0.1%
 
0.0151< 0.1%
 
ValueCountFrequency (%) 
641< 0.1%
 
481< 0.1%
 
321< 0.1%
 
281< 0.1%
 
271< 0.1%
 

Rh
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count126
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06807219113013215
Minimum0.0
Maximum45.0
Zeros20620
Zeros (%)97.0%
Memory size166.1 KiB
2021-08-25T17:34:19.232134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.005898133
Coefficient of variation (CV)14.77693191
Kurtosis1382.464821
Mean0.06807219113
Median Absolute Deviation (MAD)0
Skewness34.14483243
Sum1447.419
Variance1.011831054
2021-08-25T17:34:19.324919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02062097.0%
 
1920.4%
 
4880.4%
 
2430.2%
 
0.04230.1%
 
0.1210.1%
 
3200.1%
 
0.5180.1%
 
0.2180.1%
 
6170.1%
 
Other values (116)3031.4%
 
ValueCountFrequency (%) 
02062097.0%
 
0.0054< 0.1%
 
0.017< 0.1%
 
0.0151< 0.1%
 
0.028< 0.1%
 
ValueCountFrequency (%) 
455< 0.1%
 
431< 0.1%
 
411< 0.1%
 
371< 0.1%
 
271< 0.1%
 

Pd
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count122
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08503356534825755
Minimum0.0
Maximum50.99745
Zeros20776
Zeros (%)97.7%
Memory size166.1 KiB
2021-08-25T17:34:19.409691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50.99745
Range50.99745
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.554018189
Coefficient of variation (CV)18.27535025
Kurtosis882.0453278
Mean0.08503356535
Median Absolute Deviation (MAD)0
Skewness28.79716213
Sum1808.0687
Variance2.414972533
2021-08-25T17:34:19.498454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02077697.7%
 
21030.5%
 
1880.4%
 
3270.1%
 
0.2110.1%
 
0.59< 0.1%
 
59< 0.1%
 
48< 0.1%
 
0.158< 0.1%
 
0.187< 0.1%
 
Other values (112)2171.0%
 
ValueCountFrequency (%) 
02077697.7%
 
0.0121< 0.1%
 
0.0151< 0.1%
 
0.026< 0.1%
 
0.0241< 0.1%
 
ValueCountFrequency (%) 
50.997451< 0.1%
 
50.97451< 0.1%
 
50.936251< 0.1%
 
50.87251< 0.1%
 
50.7456< 0.1%
 

Ag
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count57
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007834266096035367
Minimum0.0
Maximum7.0
Zeros21107
Zeros (%)99.3%
Memory size166.1 KiB
2021-08-25T17:34:19.589179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1678309762
Coefficient of variation (CV)21.42268007
Kurtosis1376.651382
Mean0.007834266096
Median Absolute Deviation (MAD)0
Skewness35.04738856
Sum166.58
Variance0.02816723657
2021-08-25T17:34:19.683928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02110799.3%
 
1260.1%
 
0.4150.1%
 
0.19< 0.1%
 
79< 0.1%
 
0.28< 0.1%
 
0.256< 0.1%
 
26< 0.1%
 
0.35< 0.1%
 
0.155< 0.1%
 
Other values (47)670.3%
 
ValueCountFrequency (%) 
02110799.3%
 
0.0021< 0.1%
 
0.0041< 0.1%
 
0.0051< 0.1%
 
0.0161< 0.1%
 
ValueCountFrequency (%) 
79< 0.1%
 
52< 0.1%
 
41< 0.1%
 
3.31< 0.1%
 
26< 0.1%
 

Cd
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count41
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009152179842919626
Minimum0.0
Maximum99.995
Zeros21085
Zeros (%)99.2%
Memory size166.1 KiB
2021-08-25T17:34:19.785678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99.995
Range99.995
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6887292705
Coefficient of variation (CV)75.25303067
Kurtosis20893.769
Mean0.009152179843
Median Absolute Deviation (MAD)0
Skewness143.9310414
Sum194.6028
Variance0.474348008
2021-08-25T17:34:19.878430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02108599.2%
 
0.5280.1%
 
1270.1%
 
0.1150.1%
 
0.2140.1%
 
0.3120.1%
 
0.410< 0.1%
 
0.69< 0.1%
 
28< 0.1%
 
0.256< 0.1%
 
Other values (31)490.2%
 
ValueCountFrequency (%) 
02108599.2%
 
0.0021< 0.1%
 
0.00552< 0.1%
 
0.0061< 0.1%
 
0.012< 0.1%
 
ValueCountFrequency (%) 
99.9951< 0.1%
 
28< 0.1%
 
1.51< 0.1%
 
1.31< 0.1%
 
1270.1%
 

In
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count142
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.049468292338804495
Minimum0.0
Maximum31.5
Zeros20719
Zeros (%)97.4%
Memory size166.1 KiB
2021-08-25T17:34:19.973177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31.5
Range31.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5218204168
Coefficient of variation (CV)10.54858359
Kurtosis941.7335125
Mean0.04946829234
Median Absolute Deviation (MAD)0
Skewness22.53572548
Sum1051.8443
Variance0.2722965474
2021-08-25T17:34:20.074904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02071997.4%
 
5980.5%
 
1900.4%
 
0.05270.1%
 
0.2260.1%
 
0.16210.1%
 
3140.1%
 
2140.1%
 
0.1120.1%
 
0.0810< 0.1%
 
Other values (132)2321.1%
 
ValueCountFrequency (%) 
02071997.4%
 
0.0053< 0.1%
 
0.0081< 0.1%
 
0.013< 0.1%
 
0.0122< 0.1%
 
ValueCountFrequency (%) 
31.51< 0.1%
 
251< 0.1%
 
111< 0.1%
 
86< 0.1%
 
7.651< 0.1%
 

Sn
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count208
Unique (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12099416827352678
Minimum0.0
Maximum99.2
Zeros20423
Zeros (%)96.0%
Memory size166.1 KiB
2021-08-25T17:34:20.167656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99.2
Range99.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.886950622
Coefficient of variation (CV)15.59538487
Kurtosis1586.495469
Mean0.1209941683
Median Absolute Deviation (MAD)0
Skewness35.58506089
Sum2572.699
Variance3.560582649
2021-08-25T17:34:20.250435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02042396.0%
 
11890.9%
 
13360.2%
 
3280.1%
 
0.2270.1%
 
0.8220.1%
 
0.5220.1%
 
0.7210.1%
 
19200.1%
 
0.1190.1%
 
Other values (198)4562.1%
 
ValueCountFrequency (%) 
02042396.0%
 
0.0042< 0.1%
 
0.0052< 0.1%
 
0.014< 0.1%
 
0.0141< 0.1%
 
ValueCountFrequency (%) 
99.21< 0.1%
 
971< 0.1%
 
941< 0.1%
 
931< 0.1%
 
801< 0.1%
 

Sb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count76
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10126936932699994
Minimum0.0
Maximum83.5
Zeros20920
Zeros (%)98.4%
Memory size166.1 KiB
2021-08-25T17:34:20.338200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum83.5
Range83.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.83901955
Coefficient of variation (CV)18.15968206
Kurtosis935.2714441
Mean0.1012693693
Median Absolute Deviation (MAD)0
Skewness28.44257421
Sum2153.2906
Variance3.381992904
2021-08-25T17:34:20.422973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02092098.4%
 
12610.3%
 
1510.2%
 
2420.2%
 
0.1280.1%
 
49120.1%
 
0.059< 0.1%
 
0.29< 0.1%
 
0.258< 0.1%
 
0.157< 0.1%
 
Other values (66)1160.5%
 
ValueCountFrequency (%) 
02092098.4%
 
0.00961< 0.1%
 
0.012< 0.1%
 
0.0111< 0.1%
 
0.0141< 0.1%
 
ValueCountFrequency (%) 
83.51< 0.1%
 
752< 0.1%
 
68.51< 0.1%
 
504< 0.1%
 
49120.1%
 

Te
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count90
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04049118186521187
Minimum0.0
Maximum66.7
Zeros20736
Zeros (%)97.5%
Memory size166.1 KiB
2021-08-25T17:34:20.508744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum66.7
Range66.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7180427891
Coefficient of variation (CV)17.73331269
Kurtosis6993.069006
Mean0.04049118187
Median Absolute Deviation (MAD)0
Skewness76.88019379
Sum860.964
Variance0.515585447
2021-08-25T17:34:20.598520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02073697.5%
 
11990.9%
 
2620.3%
 
3290.1%
 
0.5250.1%
 
0.7210.1%
 
0.8150.1%
 
0.75130.1%
 
0.6120.1%
 
6110.1%
 
Other values (80)1400.7%
 
ValueCountFrequency (%) 
02073697.5%
 
0.011< 0.1%
 
0.0411< 0.1%
 
0.051< 0.1%
 
0.0751< 0.1%
 
ValueCountFrequency (%) 
66.71< 0.1%
 
66.61< 0.1%
 
162< 0.1%
 
82< 0.1%
 
6110.1%
 

I
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count29
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0047443916662747495
Minimum0.0
Maximum4.0
Zeros21180
Zeros (%)99.6%
Memory size166.1 KiB
2021-08-25T17:34:20.691272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08848014491
Coefficient of variation (CV)18.64941833
Kurtosis766.7660343
Mean0.004744391666
Median Absolute Deviation (MAD)0
Skewness24.73824498
Sum100.88
Variance0.007828736044
2021-08-25T17:34:20.780035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02118099.6%
 
1380.2%
 
210< 0.1%
 
1.53< 0.1%
 
33< 0.1%
 
0.252< 0.1%
 
42< 0.1%
 
1.752< 0.1%
 
0.42< 0.1%
 
0.862< 0.1%
 
Other values (19)190.1%
 
ValueCountFrequency (%) 
02118099.6%
 
0.031< 0.1%
 
0.11< 0.1%
 
0.21< 0.1%
 
0.252< 0.1%
 
ValueCountFrequency (%) 
42< 0.1%
 
33< 0.1%
 
210< 0.1%
 
1.752< 0.1%
 
1.61< 0.1%
 

Xe
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Cs
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count28
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004128533132671777
Minimum0.0
Maximum3.0
Zeros21165
Zeros (%)99.5%
Memory size166.1 KiB
2021-08-25T17:34:20.873785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07767588745
Coefficient of variation (CV)18.81440331
Kurtosis849.5019524
Mean0.004128533133
Median Absolute Deviation (MAD)0
Skewness26.29882734
Sum87.785
Variance0.006033543492
2021-08-25T17:34:20.963561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02116599.5%
 
1390.2%
 
37< 0.1%
 
0.17< 0.1%
 
0.35< 0.1%
 
0.85< 0.1%
 
0.54< 0.1%
 
0.863< 0.1%
 
0.053< 0.1%
 
23< 0.1%
 
Other values (18)220.1%
 
ValueCountFrequency (%) 
02116599.5%
 
0.0051< 0.1%
 
0.053< 0.1%
 
0.17< 0.1%
 
0.151< 0.1%
 
ValueCountFrequency (%) 
37< 0.1%
 
23< 0.1%
 
1.21< 0.1%
 
1390.2%
 
0.961< 0.1%
 

Ba
Real number (ℝ≥0)

ZEROS

Distinct count262
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5684402483186757
Minimum0.0
Maximum24.0
Zeros14512
Zeros (%)68.3%
Memory size166.1 KiB
2021-08-25T17:34:21.055316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.35
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation0.9832878186
Coefficient of variation (CV)1.729799784
Kurtosis59.46941441
Mean0.5684402483
Median Absolute Deviation (MAD)0
Skewness3.878687988
Sum12086.745
Variance0.9668549342
2021-08-25T17:34:21.137097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01451268.3%
 
2426820.1%
 
16132.9%
 
1.51390.7%
 
1.81190.6%
 
1.61160.5%
 
41070.5%
 
1.9930.4%
 
0.6790.4%
 
1.7710.3%
 
Other values (252)11465.4%
 
ValueCountFrequency (%) 
01451268.3%
 
0.0051< 0.1%
 
0.0122< 0.1%
 
0.0142< 0.1%
 
0.0252< 0.1%
 
ValueCountFrequency (%) 
242< 0.1%
 
232< 0.1%
 
8230.1%
 
7.762< 0.1%
 
7.611< 0.1%
 

La
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count349
Unique (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.264952593707379
Minimum0.0
Maximum98.0
Zeros17800
Zeros (%)83.7%
Memory size166.1 KiB
2021-08-25T17:34:21.226857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.81
Maximum98
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.320821926
Coefficient of variation (CV)8.759385569
Kurtosis1586.551398
Mean0.2649525937
Median Absolute Deviation (MAD)0
Skewness38.52550896
Sum5633.687
Variance5.386214411
2021-08-25T17:34:21.309636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01780083.7%
 
16893.2%
 
1.852731.3%
 
1.81390.7%
 
0.41080.5%
 
31020.5%
 
0.2970.5%
 
2860.4%
 
0.1820.4%
 
1.9760.4%
 
Other values (339)18118.5%
 
ValueCountFrequency (%) 
01780083.7%
 
0.0011< 0.1%
 
0.0061< 0.1%
 
0.014< 0.1%
 
0.0151< 0.1%
 
ValueCountFrequency (%) 
9810< 0.1%
 
781< 0.1%
 
751< 0.1%
 
131< 0.1%
 
91< 0.1%
 

Ce
Real number (ℝ≥0)

ZEROS

Distinct count127
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03066152941729765
Minimum0.0
Maximum4.998
Zeros20101
Zeros (%)94.5%
Memory size166.1 KiB
2021-08-25T17:34:21.396404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.11
Maximum4.998
Range4.998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1731470032
Coefficient of variation (CV)5.647043917
Kurtosis99.51011542
Mean0.03066152942
Median Absolute Deviation (MAD)0
Skewness8.183898875
Sum651.9561
Variance0.02997988472
2021-08-25T17:34:21.481178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02010194.5%
 
13041.4%
 
0.152801.3%
 
0.5960.5%
 
0.6500.2%
 
0.1270.1%
 
0.2260.1%
 
2.01200.1%
 
0.35180.1%
 
0.8180.1%
 
Other values (117)3231.5%
 
ValueCountFrequency (%) 
02010194.5%
 
0.00031< 0.1%
 
0.00071< 0.1%
 
0.00091< 0.1%
 
0.00112< 0.1%
 
ValueCountFrequency (%) 
4.9981< 0.1%
 
41< 0.1%
 
32< 0.1%
 
2.841< 0.1%
 
2.01200.1%
 

Pr
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count138
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.041494356393735596
Minimum0.0
Maximum185.0
Zeros19987
Zeros (%)94.0%
Memory size166.1 KiB
2021-08-25T17:34:21.565951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1
Maximum185
Range185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.282059232
Coefficient of variation (CV)30.89719526
Kurtosis20376.0569
Mean0.04149435639
Median Absolute Deviation (MAD)0
Skewness141.2570971
Sum882.2945
Variance1.643675873
2021-08-25T17:34:21.652753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01998794.0%
 
0.22081.0%
 
0.11310.6%
 
11220.6%
 
0.31060.5%
 
0.41000.5%
 
0.5730.3%
 
1.85520.2%
 
0.15520.2%
 
0.05480.2%
 
Other values (128)3841.8%
 
ValueCountFrequency (%) 
01998794.0%
 
0.0051< 0.1%
 
0.014< 0.1%
 
0.0151< 0.1%
 
0.024< 0.1%
 
ValueCountFrequency (%) 
1851< 0.1%
 
42< 0.1%
 
3.151< 0.1%
 
2130.1%
 
1.971< 0.1%
 

Nd
Real number (ℝ≥0)

ZEROS

Distinct count110
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03966603959930396
Minimum0.0
Maximum6.0
Zeros20317
Zeros (%)95.6%
Memory size166.1 KiB
2021-08-25T17:34:21.744511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2246567878
Coefficient of variation (CV)5.663706033
Kurtosis63.91632533
Mean0.0396660396
Median Absolute Deviation (MAD)0
Skewness6.984963839
Sum843.419
Variance0.0504706723
2021-08-25T17:34:21.832276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02031795.6%
 
12231.0%
 
1.85890.4%
 
0.2650.3%
 
0.4650.3%
 
0.1410.2%
 
0.5330.2%
 
2320.2%
 
0.8300.1%
 
0.3230.1%
 
Other values (100)3451.6%
 
ValueCountFrequency (%) 
02031795.6%
 
0.0082< 0.1%
 
0.014< 0.1%
 
0.024< 0.1%
 
0.032< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
2.351< 0.1%
 
2.11< 0.1%
 
2320.2%
 
1.883< 0.1%
 

Pm
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Sm
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count78
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021991929643041905
Minimum0.0
Maximum12.0
Zeros20785
Zeros (%)97.8%
Memory size166.1 KiB
2021-08-25T17:34:21.921168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.183172707
Coefficient of variation (CV)8.329087534
Kurtosis970.14254
Mean0.02199192964
Median Absolute Deviation (MAD)0
Skewness20.62153082
Sum467.6144
Variance0.0335522406
2021-08-25T17:34:22.004935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02078597.8%
 
12321.1%
 
0.5180.1%
 
1.85180.1%
 
0.4150.1%
 
0.8150.1%
 
0.1120.1%
 
0.2110.1%
 
0.710< 0.1%
 
0.910< 0.1%
 
Other values (68)1370.6%
 
ValueCountFrequency (%) 
02078597.8%
 
0.00052< 0.1%
 
0.0012< 0.1%
 
0.0052< 0.1%
 
0.00841< 0.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
61< 0.1%
 
42< 0.1%
 
31< 0.1%
 
21< 0.1%
 

Eu
Real number (ℝ≥0)

ZEROS

Distinct count68
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01782128580162724
Minimum0.0
Maximum6.0
Zeros20883
Zeros (%)98.2%
Memory size166.1 KiB
2021-08-25T17:34:22.093703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1514325042
Coefficient of variation (CV)8.497282739
Kurtosis204.6496535
Mean0.0178212858
Median Absolute Deviation (MAD)0
Skewness11.47995965
Sum378.934
Variance0.02293180333
2021-08-25T17:34:22.182434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02088398.2%
 
11380.6%
 
1.5300.1%
 
0.5220.1%
 
0.8130.1%
 
0.2130.1%
 
0.6120.1%
 
0.7120.1%
 
0.49< 0.1%
 
1.49< 0.1%
 
Other values (58)1220.6%
 
ValueCountFrequency (%) 
02088398.2%
 
0.00281< 0.1%
 
0.00341< 0.1%
 
0.011< 0.1%
 
0.0111< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
32< 0.1%
 
2.671< 0.1%
 
2.6671< 0.1%
 
2.173< 0.1%
 

Gd
Real number (ℝ≥0)

ZEROS

Distinct count98
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023958761698725486
Minimum0.0
Maximum4.0
Zeros20600
Zeros (%)96.9%
Memory size166.1 KiB
2021-08-25T17:34:22.270213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1558599778
Coefficient of variation (CV)6.505343629
Kurtosis82.86802377
Mean0.0239587617
Median Absolute Deviation (MAD)0
Skewness7.826382751
Sum509.43515
Variance0.02429233267
2021-08-25T17:34:22.356010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02060096.9%
 
12591.2%
 
1.4250.1%
 
0.2240.1%
 
0.8230.1%
 
1.5230.1%
 
0.6220.1%
 
0.1210.1%
 
0.5170.1%
 
0.9160.1%
 
Other values (88)2331.1%
 
ValueCountFrequency (%) 
02060096.9%
 
0.0013< 0.1%
 
0.0022< 0.1%
 
0.0032< 0.1%
 
0.0042< 0.1%
 
ValueCountFrequency (%) 
42< 0.1%
 
22< 0.1%
 
1.951< 0.1%
 
1.641< 0.1%
 
1.62< 0.1%
 

Tb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count44
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002856553637774538
Minimum0.0
Maximum5.0
Zeros21159
Zeros (%)99.5%
Memory size166.1 KiB
2021-08-25T17:34:22.448755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06473675452
Coefficient of variation (CV)22.6625377
Kurtosis2611.828554
Mean0.002856553638
Median Absolute Deviation (MAD)0
Skewness43.10416911
Sum60.7389
Variance0.004190847385
2021-08-25T17:34:22.528542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02115999.5%
 
1220.1%
 
0.1110.1%
 
0.210< 0.1%
 
0.65< 0.1%
 
0.34< 0.1%
 
0.254< 0.1%
 
0.54< 0.1%
 
0.153< 0.1%
 
0.43< 0.1%
 
Other values (34)380.2%
 
ValueCountFrequency (%) 
02115999.5%
 
0.00151< 0.1%
 
0.00261< 0.1%
 
0.0041< 0.1%
 
0.00591< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
41< 0.1%
 
2.751< 0.1%
 
1.3031< 0.1%
 
1.2461< 0.1%
 

Dy
Real number (ℝ≥0)

ZEROS

Distinct count38
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009536095565066077
Minimum0.0
Maximum5.0
Zeros21024
Zeros (%)98.9%
Memory size166.1 KiB
2021-08-25T17:34:22.613316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1041533063
Coefficient of variation (CV)10.92200739
Kurtosis403.8318412
Mean0.009536095565
Median Absolute Deviation (MAD)0
Skewness15.81901905
Sum202.766
Variance0.01084791121
2021-08-25T17:34:22.694101image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02102498.9%
 
11220.6%
 
0.5140.1%
 
0.2120.1%
 
0.49< 0.1%
 
0.18< 0.1%
 
0.87< 0.1%
 
0.356< 0.1%
 
0.96< 0.1%
 
0.65< 0.1%
 
Other values (28)500.2%
 
ValueCountFrequency (%) 
02102498.9%
 
0.012< 0.1%
 
0.062< 0.1%
 
0.18< 0.1%
 
0.153< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
31< 0.1%
 
2.671< 0.1%
 
2.51< 0.1%
 
23< 0.1%
 

Ho
Real number (ℝ≥0)

ZEROS

Distinct count46
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00883152424399191
Minimum0.0
Maximum5.0
Zeros21036
Zeros (%)98.9%
Memory size166.1 KiB
2021-08-25T17:34:22.779874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09872779306
Coefficient of variation (CV)11.17902078
Kurtosis518.6454635
Mean0.008831524244
Median Absolute Deviation (MAD)0
Skewness17.28591882
Sum187.7847
Variance0.009747177122
2021-08-25T17:34:22.859658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02103698.9%
 
11020.5%
 
0.5210.1%
 
0.049< 0.1%
 
0.98< 0.1%
 
0.88< 0.1%
 
0.856< 0.1%
 
0.65< 0.1%
 
0.755< 0.1%
 
0.25< 0.1%
 
Other values (36)580.3%
 
ValueCountFrequency (%) 
02103698.9%
 
0.011< 0.1%
 
0.01051< 0.1%
 
0.049< 0.1%
 
0.04221< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
41< 0.1%
 
21< 0.1%
 
1.81< 0.1%
 
1.641< 0.1%
 

Er
Real number (ℝ≥0)

ZEROS

Distinct count61
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0142170907209707
Minimum0.0
Maximum5.0
Zeros20907
Zeros (%)98.3%
Memory size166.1 KiB
2021-08-25T17:34:22.944398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1314166464
Coefficient of variation (CV)9.243568112
Kurtosis384.1831773
Mean0.01421709072
Median Absolute Deviation (MAD)0
Skewness15.43746638
Sum302.298
Variance0.01727033496
2021-08-25T17:34:23.027395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02090798.3%
 
11640.8%
 
0.5190.1%
 
0.8180.1%
 
0.49< 0.1%
 
0.78< 0.1%
 
0.98< 0.1%
 
0.68< 0.1%
 
0.757< 0.1%
 
0.27< 0.1%
 
Other values (51)1080.5%
 
ValueCountFrequency (%) 
02090798.3%
 
0.0031< 0.1%
 
0.0051< 0.1%
 
0.013< 0.1%
 
0.021< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
4.571< 0.1%
 
4.411< 0.1%
 
43< 0.1%
 
24< 0.1%
 

Tm
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count38
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00890937308940413
Minimum0.0
Maximum5.0
Zeros21082
Zeros (%)99.1%
Memory size166.1 KiB
2021-08-25T17:34:23.114166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1304553461
Coefficient of variation (CV)14.64248324
Kurtosis803.9217466
Mean0.008909373089
Median Absolute Deviation (MAD)0
Skewness24.8585138
Sum189.44
Variance0.01701859733
2021-08-25T17:34:23.195912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02108299.1%
 
1880.4%
 
0.5130.1%
 
0.27< 0.1%
 
56< 0.1%
 
0.15< 0.1%
 
0.65< 0.1%
 
0.85< 0.1%
 
25< 0.1%
 
44< 0.1%
 
Other values (28)430.2%
 
ValueCountFrequency (%) 
02108299.1%
 
0.0381< 0.1%
 
0.051< 0.1%
 
0.082< 0.1%
 
0.0921< 0.1%
 
ValueCountFrequency (%) 
56< 0.1%
 
44< 0.1%
 
25< 0.1%
 
1.832< 0.1%
 
1.81< 0.1%
 

Yb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count51
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012715515214221889
Minimum0.0
Maximum16.0
Zeros20972
Zeros (%)98.6%
Memory size166.1 KiB
2021-08-25T17:34:23.280686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2148064955
Coefficient of variation (CV)16.89325929
Kurtosis3776.164451
Mean0.01271551521
Median Absolute Deviation (MAD)0
Skewness54.54058883
Sum270.37
Variance0.0461418305
2021-08-25T17:34:23.372949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02097298.6%
 
1860.4%
 
0.2270.1%
 
0.7190.1%
 
0.8140.1%
 
0.5130.1%
 
0.6130.1%
 
0.9120.1%
 
0.75110.1%
 
0.65110.1%
 
Other values (41)850.4%
 
ValueCountFrequency (%) 
02097298.6%
 
0.012< 0.1%
 
0.0131< 0.1%
 
0.022< 0.1%
 
0.0251< 0.1%
 
ValueCountFrequency (%) 
162< 0.1%
 
141< 0.1%
 
61< 0.1%
 
3.51< 0.1%
 
35< 0.1%
 

Lu
Real number (ℝ≥0)

ZEROS

Distinct count81
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0268487043220618
Minimum0.0
Maximum7.0
Zeros20864
Zeros (%)98.1%
Memory size166.1 KiB
2021-08-25T17:34:23.463740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2768612333
Coefficient of variation (CV)10.31190295
Kurtosis245.3668626
Mean0.02684870432
Median Absolute Deviation (MAD)0
Skewness14.72110521
Sum570.884
Variance0.07665214252
2021-08-25T17:34:23.553499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02086498.1%
 
11160.5%
 
5300.1%
 
2250.1%
 
0.8230.1%
 
0.5170.1%
 
0.7160.1%
 
0.9140.1%
 
0.6110.1%
 
0.29< 0.1%
 
Other values (71)1380.6%
 
ValueCountFrequency (%) 
02086498.1%
 
0.0071< 0.1%
 
0.012< 0.1%
 
0.0151< 0.1%
 
0.0161< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
5300.1%
 
4.981< 0.1%
 
4.9751< 0.1%
 
4.952< 0.1%
 

Hf
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count54
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009168085406574801
Minimum0.0
Maximum25.0
Zeros21041
Zeros (%)99.0%
Memory size166.1 KiB
2021-08-25T17:34:23.655359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2089693434
Coefficient of variation (CV)22.79312792
Kurtosis9907.449253
Mean0.009168085407
Median Absolute Deviation (MAD)0
Skewness87.98127714
Sum194.941
Variance0.0436681865
2021-08-25T17:34:23.742162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02104199.0%
 
1790.4%
 
0.15200.1%
 
0.05110.1%
 
0.2110.1%
 
0.59< 0.1%
 
0.99< 0.1%
 
0.86< 0.1%
 
26< 0.1%
 
0.15< 0.1%
 
Other values (44)660.3%
 
ValueCountFrequency (%) 
02104199.0%
 
0.0151< 0.1%
 
0.0251< 0.1%
 
0.05110.1%
 
0.061< 0.1%
 
ValueCountFrequency (%) 
251< 0.1%
 
101< 0.1%
 
52< 0.1%
 
41< 0.1%
 
26< 0.1%
 

Ta
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count99
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03608622960071485
Minimum0.0
Maximum55.0
Zeros20867
Zeros (%)98.1%
Memory size166.1 KiB
2021-08-25T17:34:23.828927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8513795954
Coefficient of variation (CV)23.59292187
Kurtosis2555.9742
Mean0.0360862296
Median Absolute Deviation (MAD)0
Skewness47.42456862
Sum767.3015
Variance0.7248472154
2021-08-25T17:34:23.911707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02086798.1%
 
11280.6%
 
2240.1%
 
0.5160.1%
 
0.8140.1%
 
0.6120.1%
 
0.2120.1%
 
310< 0.1%
 
0.259< 0.1%
 
0.18< 0.1%
 
Other values (89)1630.8%
 
ValueCountFrequency (%) 
02086798.1%
 
0.0051< 0.1%
 
0.00821< 0.1%
 
0.0091< 0.1%
 
0.014< 0.1%
 
ValueCountFrequency (%) 
552< 0.1%
 
41.252< 0.1%
 
39.51< 0.1%
 
27.52< 0.1%
 
252< 0.1%
 

W
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count65
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010423693740300052
Minimum0.0
Maximum14.0
Zeros20998
Zeros (%)98.8%
Memory size166.1 KiB
2021-08-25T17:34:23.995483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1646280378
Coefficient of variation (CV)15.79363726
Kurtosis2918.915212
Mean0.01042369374
Median Absolute Deviation (MAD)0
Skewness43.55987191
Sum221.639
Variance0.02710239084
2021-08-25T17:34:24.081255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02099898.8%
 
1870.4%
 
0.25190.1%
 
0.2190.1%
 
0.1140.1%
 
0.5110.1%
 
0.49< 0.1%
 
37< 0.1%
 
27< 0.1%
 
0.37< 0.1%
 
Other values (55)850.4%
 
ValueCountFrequency (%) 
02099898.8%
 
0.0011< 0.1%
 
0.0061< 0.1%
 
0.0131< 0.1%
 
0.0141< 0.1%
 
ValueCountFrequency (%) 
141< 0.1%
 
72< 0.1%
 
52< 0.1%
 
4.81< 0.1%
 
37< 0.1%
 

Re
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count108
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.038206245590932615
Minimum0.0
Maximum97.24
Zeros20903
Zeros (%)98.3%
Memory size166.1 KiB
2021-08-25T17:34:24.175006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97.24
Range97.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.17747605
Coefficient of variation (CV)30.81894155
Kurtosis4576.174031
Mean0.03820624559
Median Absolute Deviation (MAD)0
Skewness62.61461588
Sum812.3794
Variance1.386449847
2021-08-25T17:34:24.257786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02090398.3%
 
1340.2%
 
0.15300.1%
 
2250.1%
 
0.1240.1%
 
0.2160.1%
 
0.6130.1%
 
0.25130.1%
 
3120.1%
 
0.39< 0.1%
 
Other values (98)1840.9%
 
ValueCountFrequency (%) 
02090398.3%
 
0.012< 0.1%
 
0.025< 0.1%
 
0.0251< 0.1%
 
0.032< 0.1%
 
ValueCountFrequency (%) 
97.241< 0.1%
 
91.671< 0.1%
 
701< 0.1%
 
301< 0.1%
 
247< 0.1%
 

Os
Real number (ℝ≥0)

ZEROS

Distinct count80
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02251186568217091
Minimum0.0
Maximum10.0
Zeros21008
Zeros (%)98.8%
Memory size166.1 KiB
2021-08-25T17:34:24.344550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2822649214
Coefficient of variation (CV)12.53849527
Kurtosis317.3284844
Mean0.02251186568
Median Absolute Deviation (MAD)0
Skewness16.22632116
Sum478.6698
Variance0.07967348584
2021-08-25T17:34:24.426332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02100898.8%
 
4530.2%
 
1380.2%
 
2350.2%
 
67< 0.1%
 
0.056< 0.1%
 
0.36< 0.1%
 
0.15< 0.1%
 
0.55< 0.1%
 
0.45< 0.1%
 
Other values (70)950.4%
 
ValueCountFrequency (%) 
02100898.8%
 
0.0011< 0.1%
 
0.0021< 0.1%
 
0.0051< 0.1%
 
0.0061< 0.1%
 
ValueCountFrequency (%) 
101< 0.1%
 
8.331< 0.1%
 
81< 0.1%
 
67< 0.1%
 
4530.2%
 

Ir
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count130
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06155838780981047
Minimum0.0
Maximum45.0
Zeros20691
Zeros (%)97.3%
Memory size166.1 KiB
2021-08-25T17:34:24.519050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8648592525
Coefficient of variation (CV)14.04941363
Kurtosis1812.16223
Mean0.06155838781
Median Absolute Deviation (MAD)0
Skewness38.0969646
Sum1308.916
Variance0.7479815266
2021-08-25T17:34:24.607812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02069197.3%
 
4840.4%
 
1830.4%
 
2630.3%
 
3250.1%
 
0.410< 0.1%
 
0.19< 0.1%
 
3.69< 0.1%
 
0.99< 0.1%
 
0.59< 0.1%
 
Other values (120)2711.3%
 
ValueCountFrequency (%) 
02069197.3%
 
0.00051< 0.1%
 
0.0051< 0.1%
 
0.012< 0.1%
 
0.025< 0.1%
 
ValueCountFrequency (%) 
455< 0.1%
 
199< 0.1%
 
81< 0.1%
 
65< 0.1%
 
52< 0.1%
 

Pt
Real number (ℝ≥0)

ZEROS

Distinct count95
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03410845130038094
Minimum0.0
Maximum5.8
Zeros20844
Zeros (%)98.0%
Memory size166.1 KiB
2021-08-25T17:34:24.696577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.8
Range5.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3078879756
Coefficient of variation (CV)9.026735718
Kurtosis116.6139213
Mean0.0341084513
Median Absolute Deviation (MAD)0
Skewness10.44409729
Sum725.248
Variance0.09479500555
2021-08-25T17:34:24.786336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02084498.0%
 
1810.4%
 
3750.4%
 
4330.2%
 
2310.1%
 
0.1150.1%
 
2.1130.1%
 
0.3120.1%
 
0.05110.1%
 
1.510< 0.1%
 
Other values (85)1380.6%
 
ValueCountFrequency (%) 
02084498.0%
 
0.012< 0.1%
 
0.0131< 0.1%
 
0.0141< 0.1%
 
0.023< 0.1%
 
ValueCountFrequency (%) 
5.81< 0.1%
 
51< 0.1%
 
4.82< 0.1%
 
4.61< 0.1%
 
4.31< 0.1%
 

Au
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count87
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020534543573343365
Minimum0.0
Maximum64.0
Zeros21021
Zeros (%)98.9%
Memory size166.1 KiB
2021-08-25T17:34:24.875133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum64
Range64
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7179754991
Coefficient of variation (CV)34.96427844
Kurtosis6114.827012
Mean0.02053454357
Median Absolute Deviation (MAD)0
Skewness73.67985728
Sum436.626
Variance0.5154888173
2021-08-25T17:34:24.963895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02102198.9%
 
1550.3%
 
0.92190.1%
 
2130.1%
 
0.2120.1%
 
0.58< 0.1%
 
0.37< 0.1%
 
0.67< 0.1%
 
0.17< 0.1%
 
0.245< 0.1%
 
Other values (77)1090.5%
 
ValueCountFrequency (%) 
02102198.9%
 
0.021< 0.1%
 
0.0451< 0.1%
 
0.052< 0.1%
 
0.071< 0.1%
 
ValueCountFrequency (%) 
641< 0.1%
 
63.51< 0.1%
 
301< 0.1%
 
251< 0.1%
 
221< 0.1%
 

Hg
Real number (ℝ≥0)

ZEROS

Distinct count55
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03666344824342755
Minimum0.0
Maximum8.0
Zeros20418
Zeros (%)96.0%
Memory size166.1 KiB
2021-08-25T17:34:25.050665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2058464477
Coefficient of variation (CV)5.614486841
Kurtosis182.342683
Mean0.03666344824
Median Absolute Deviation (MAD)0
Skewness9.451300395
Sum779.5749
Variance0.04237276004
2021-08-25T17:34:25.142418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02041896.0%
 
13611.7%
 
0.7770.4%
 
0.8710.3%
 
0.75410.2%
 
0.5400.2%
 
0.9340.2%
 
1.4330.2%
 
0.85210.1%
 
0.3210.1%
 
Other values (45)1460.7%
 
ValueCountFrequency (%) 
02041896.0%
 
0.00081< 0.1%
 
0.00241< 0.1%
 
0.0041< 0.1%
 
0.0161< 0.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
52< 0.1%
 
42< 0.1%
 
3.31< 0.1%
 
35< 0.1%
 

Tl
Real number (ℝ≥0)

ZEROS

Distinct count102
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04795398109391902
Minimum0.0
Maximum7.0
Zeros20355
Zeros (%)95.7%
Memory size166.1 KiB
2021-08-25T17:34:25.276027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2722976334
Coefficient of variation (CV)5.678311314
Kurtosis73.83922521
Mean0.04795398109
Median Absolute Deviation (MAD)0
Skewness7.399811675
Sum1019.6455
Variance0.07414600116
2021-08-25T17:34:25.372795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02035595.7%
 
12471.2%
 
22071.0%
 
0.51170.6%
 
0.6450.2%
 
0.8280.1%
 
1.5170.1%
 
0.9170.1%
 
0.4150.1%
 
0.75130.1%
 
Other values (92)2021.0%
 
ValueCountFrequency (%) 
02035595.7%
 
0.0041< 0.1%
 
0.0052< 0.1%
 
0.00781< 0.1%
 
0.014< 0.1%
 
ValueCountFrequency (%) 
71< 0.1%
 
53< 0.1%
 
310< 0.1%
 
2.5110.1%
 
2.42< 0.1%
 

Pb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count156
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04246080515449372
Minimum0.0
Maximum19.0
Zeros20008
Zeros (%)94.1%
Memory size166.1 KiB
2021-08-25T17:34:25.466552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.24
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2743649438
Coefficient of variation (CV)6.461604833
Kurtosis1374.361118
Mean0.04246080515
Median Absolute Deviation (MAD)0
Skewness25.82812272
Sum902.8441
Variance0.07527612239
2021-08-25T17:34:25.554316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02000894.1%
 
0.51680.8%
 
11520.7%
 
0.41520.7%
 
0.31090.5%
 
0.21000.5%
 
2750.4%
 
0.6640.3%
 
0.1280.1%
 
0.7270.1%
 
Other values (146)3801.8%
 
ValueCountFrequency (%) 
02000894.1%
 
0.00021< 0.1%
 
0.013< 0.1%
 
0.023< 0.1%
 
0.0261< 0.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
131< 0.1%
 
72< 0.1%
 
42< 0.1%
 
3.91< 0.1%
 

Bi
Real number (ℝ≥0)

ZEROS

Distinct count161
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20100912383012745
Minimum0.0
Maximum14.0
Zeros18874
Zeros (%)88.8%
Memory size166.1 KiB
2021-08-25T17:34:25.650067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6559274546
Coefficient of variation (CV)3.263172547
Kurtosis45.53022042
Mean0.2010091238
Median Absolute Deviation (MAD)0
Skewness4.91035557
Sum4274.057
Variance0.4302408257
2021-08-25T17:34:25.739822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01887488.8%
 
29714.6%
 
13791.8%
 
1.61290.6%
 
1.8840.4%
 
4790.4%
 
1.7780.4%
 
2.1710.3%
 
1.95460.2%
 
3450.2%
 
Other values (151)5072.4%
 
ValueCountFrequency (%) 
01887488.8%
 
0.01051< 0.1%
 
0.0151< 0.1%
 
0.0191< 0.1%
 
0.022< 0.1%
 
ValueCountFrequency (%) 
142< 0.1%
 
121< 0.1%
 
10.11< 0.1%
 
9.881< 0.1%
 
810< 0.1%
 

Po
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

At
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

Rn
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size166.1 KiB
0
21263
ValueCountFrequency (%) 
021263100.0%
 

critical_temp
Real number (ℝ≥0)

Distinct count3007
Unique (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.42121913535249
Minimum0.00021
Maximum185.0
Zeros0
Zeros (%)0.0%
Memory size166.1 KiB
2021-08-25T17:34:25.831542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.00021
5-th percentile1.06
Q15.365
median20
Q363
95-th percentile94
Maximum185
Range184.99979
Interquartile range (IQR)57.635

Descriptive statistics

Standard deviation34.25436245
Coefficient of variation (CV)0.995152505
Kurtosis-0.5320600123
Mean34.42121914
Median Absolute Deviation (MAD)17.14
Skewness0.8602232926
Sum731898.3825
Variance1173.361347
2021-08-25T17:34:25.914321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
801430.7%
 
201290.6%
 
301250.6%
 
901220.6%
 
401110.5%
 
321040.5%
 
351020.5%
 
921010.5%
 
15990.5%
 
25960.5%
 
Other values (2997)2013194.7%
 
ValueCountFrequency (%) 
0.000211< 0.1%
 
0.0003251< 0.1%
 
0.00041< 0.1%
 
0.00051< 0.1%
 
0.000621< 0.1%
 
ValueCountFrequency (%) 
1851< 0.1%
 
1432< 0.1%
 
137.41< 0.1%
 
1362< 0.1%
 
135.81< 0.1%